Director Data Management

🏢 Summary: Leadership role overseeing clinical data management across development programs, ensuring high-quality, compliant clinical trial data from study start-up through database lock and regulatory submission. The position drives data strategy, database design, vendor oversight, PK data review, and cross-functional collaboration to support successful clinical and regulatory outcomes. Strong focus on regulatory compliance, inspection readiness, and industry data standards. 🗂️ Requirements: BS/BA in bioscience, engineering, computer science, medical or related field, 6+ years (MS) or 9+ years (BS) clinical data management experience for Senior Manager, 9+ years (MS) or 12+ years (BS) clinical data management experience for Associate Director, Experience leading data management from study start-up through database lock, Strong vendor and CRO oversight experience, Experience supporting regulatory submissions and inspection readiness, Knowledge of ICH-GCP and FDA regulations, Experience with EDC systems (e.g., Medidata Rave) 📃 Skills: EDC, Medidata, Rave, CDISC, CDASH, SDTM, MedDRA, WHODrug, ICH-GCP, FDA, 21CFRPart11, PK, UAT, SOP, GCDMP 🏢 Description: Position Summary: Senior Manager / Associate Director, Clinical Data Management to provide leadership and oversight of clinical data management activities across one or more development programs. This individual is responsible for ensuring the quality, integrity, timeliness, and regulatory compliance of clinical trial data from study start-up through database lock and submission readiness. Working closely with Clinical Operations, Clinical Development, Biostatistics, Statistical Programming, Clinical Pharmacology, Pharmacovigilance, Regulatory Affairs, Information Technology, and external partners, this role serves as the Data Management lead for assigned studies and programs, driving data strategy, vendor oversight, process excellence, and inspection readiness. Essential Duties and Responsibilities: Clinical Data Management Leadership - Lead clinical data management activities for assigned studies (especially PK trials) from protocol development through database lock and submission readiness. - Serve as primary point of contact for CROs and vendors, ensuring data delivery on time, within budget, and in compliance with ICH-GCP guidelines. - Represent Data Management on cross-functional study teams, aligning deliverables with study objectives, timelines, and regulatory requirements. - Develop and execute study-specific data management strategies to ensure high-quality, analyzable clinical trial data. - Oversee and maintain Data Management Plans (DMPs), data review plans, and study-level documentation. Database Design, Build, and Validation - Collaborate on design and review of electronic Case Report Forms (eCRFs). - Develop and review database build specifications, edit check specifications, CRF completion guidelines, and validation plans. - Lead User Acceptance Testing (UAT) and oversee database go-live readiness. - Ensure databases are designed and validated in accordance with protocol requirements, CDASH standards, and best practices. Data Review and Quality Oversight - Lead ongoing PK and clinical data review, discrepancy management, query generation, and resolution. - Establish and monitor data quality metrics to ensure accuracy, consistency, completeness, and analysis readiness. - Oversee reconciliation activities including SAEs, laboratory data, medical coding, protocol deviations, and external data sources. - Manage MedDRA and WHODrug coding activities. - Support database lock activities and final data transfers for statistical analysis and regulatory submissions. Vendor and CRO Management - Manage bioanalytical vendors for PK assays and ensure appropriate data collection. - Provide oversight of CROs, EDC providers, specialty laboratories, and other external vendors. - Participate in vendor selection, RFP reviews, and vendor assessments. - Review vendor contracts, data transfer agreements, and service deliverables. - Monitor vendor performance, timelines, quality metrics, and issue resolution. Cross-Functional Collaboration - Partner with Biostatistics and Statistical Programming to support data review, SAP development, listings review, and submission readiness. - Collaborate with Clinical Operations, Clinical Pharmacology, Safety, Regulatory Affairs, and Medical teams to ensure accurate data collection and reporting. - Provide data management updates, risk assessments, and recommendations in study team meetings. - Support preparation and review of clinical study reports, tables, listings, and regulatory submission deliverables. Process Improvement and Compliance - Contribute to development and continuous improvement of Data Management processes, SOPs, standards, and best practices. - Ensure compliance with ICH-GCP, FDA regulations, CDISC/CDASH standards, GCDMP guidelines, and company procedures. - Support inspection readiness and participate in regulatory inspections and audits. - Mentor junior team members and contribute to team development. Required Education and Experience: - BS/BA in bioscience, engineering, computer science, medical training, or related field; MS/MA preferred. - Senior Manager: 6+ years (MS/MA) or 9+ years (BS/BA) of clinical data management experience in biotechnology, pharmaceutical, or CRO industry. - Associate Director: 9+ years (MS/MA) or 12+ years (BS/BA) of clinical data management experience in biotechnology, pharmaceutical, or CRO industry. - Experience leading data management from study start-up through database lock. - Strong vendor and CRO oversight experience. - Experience supporting regulatory submissions and inspection readiness. Preferred: - Management of PK trial data and clinical pharmacology experience. Additional Skills, Knowledge, and Abilities: - Deep understanding of clinical data management principles and industry standards. - Working knowledge of ICH-GCP, FDA regulations, 21 CFR Part 11, CDISC/CDASH, SDTM, MedDRA, and WHODrug. - Experience with EDC systems such as Medidata Rave or equivalent. - Experience with drug development and PK sample collection. - Strong understanding of external data integrations, reconciliation processes, and database lock procedures. - Strong project management, organizational, and problem-solving skills. - Ability to manage multiple priorities in a fast-paced environment.

🏢 Summary: Senior Manager / Associate Director, Biostatistics role providing strategic and operational statistical leadership across clinical development programs. The position leads study design, analysis, regulatory interactions, and cross-functional collaboration to support global submissions and evidence generation. This role influences development strategy, applies advanced statistical methodologies, and oversees statistical deliverables for clinical trials and post-marketing research. 🗂️ Requirements: PhD in Biostatistics, Statistics or related quantitative field with 4–6+ years industry experience OR MS with 6–8+ years industry experience, Experience providing statistical leadership for clinical development programs and clinical trials, Strong knowledge of clinical trial methodology, study design, statistical analysis, and regulatory requirements, Experience supporting regulatory submissions and health authority interactions, Experience leading cross-functional teams, Expertise in adaptive designs, longitudinal analyses, survival analyses, integrated analyses, Experience overseeing CROs and external statistical vendors, Proficiency in SAS and/or R, Strong understanding of ICH, FDA, EMA and global regulatory guidance 📃 Skills: SAS, R, Biostatistics, Statistics, ClinicalTrials, AdaptiveDesign, LongitudinalAnalysis, SurvivalAnalysis, IntegratedAnalysis, HEOR, RealWorldEvidence, ICH, FDA, EMA 🏢 Description: Position Summary: Senior Manager / Associate Director, Biostatistics to provide strategic and operational statistical leadership across clinical development programs. This individual will serve as the lead biostatistician for one or more clinical development programs and will partner closely with Clinical Development, Medical Affairs, Data Management, Statistical Programming, Regulatory Affairs, and external partners to ensure the delivery of high-quality statistical strategy, analyses, and regulatory submissions. The successful candidate will contribute to study design, protocol development, analysis planning, interpretation of clinical data, regulatory interactions, and evidence generation activities that support development, registration, and lifecycle management of programs. This role offers the opportunity to influence development strategy, advance innovative statistical methodologies, and contribute to regulatory and business decision-making. Essential Duties and Responsibilities: Statistical Leadership & Clinical Development - Lead the biostatistics strategy for one or more clinical development programs and studies. - Serve as the statistical representative on cross-functional study teams, Clinical Development Teams, and governance committees. - Collaborate with Clinical Development and Medical teams to design clinical studies aligned with program objectives, regulatory expectations, and business needs. - Provide strategic input into clinical development plans, including study design, endpoint selection, sample size determination, interim analyses, and decision criteria. - Identify potential statistical, operational, or scientific challenges and proactively develop solutions. - Evaluate and implement innovative statistical methodologies to enhance development strategies and study efficiency. - Support quantitative decision-making, including benefit-risk assessments, probability of technical success analyses, and Go/No-Go evaluations. Study Design, Analysis & Reporting - Author and/or review statistical sections of protocols, statistical analysis plans (SAPs), data review plans, and study reports. - Develop and/or oversee analysis strategies, including tables, listings, and figures (TLFs), ensuring methodological rigor and regulatory compliance. - Ensure timely delivery and quality of statistical analyses for interim reviews, final analyses, integrated summaries, and regulatory submissions. - Interpret study results and effectively communicate findings to technical and non-technical audiences. - Prepare and review abstracts, posters, manuscripts, presentations, and scientific publications. Regulatory & External Interactions - Contribute to regulatory strategies and support global submissions. - Represent Biostatistics during interactions with health authorities, including FDA, EMA, PMDA, and other regulatory agencies, as appropriate. - Support responses to regulatory questions related to study design, analysis methodologies, and interpretation of results. - Ensure statistical deliverables meet applicable ICH, FDA, EMA, and other global regulatory requirements. Medical Affairs, HEOR & Evidence Generation - Provide statistical leadership for post-marketing studies, observational research, registry studies, real-world evidence initiatives, and outcomes research activities, as applicable. - Support evidence generation strategies that address clinical, scientific, payer, and market access objectives. - Collaborate with cross-functional partners to identify evidence gaps and develop analytical approaches to address unmet evidence needs. - Contribute statistical expertise to publications, scientific communications, and evidence dissemination activities. Vendor Oversight & Operational Excellence - Oversee CROs, functional service providers, and external statistical vendors to ensure high-quality deliverables and adherence to timelines. - Collaborate with Statistical Programming and Data Management to ensure data quality and efficient execution of analyses. - Support departmental initiatives focused on process improvement, innovation, quality standards, and inspection readiness. - Contribute to the development and maintenance of statistical standards, procedures, and best practices. Required Education and Experience: Sr Manager: - Ph.D. in Biostatistics, Statistics, or a related quantitative discipline with a minimum of 4 years of pharmaceutical, biotechnology, or clinical research experience; or M.S. with a minimum of 6 years of experience. Associate Director: - Ph.D. in Biostatistics, Statistics, or a related quantitative discipline with a minimum of 6 years of relevant pharmaceutical industry experience; or M.S. with a minimum of 8 years of experience. - Demonstrated experience providing statistical leadership for clinical development programs and clinical trials. - Strong knowledge of clinical trial methodology, study design, statistical analysis, and regulatory requirements. - Experience supporting regulatory submissions and health authority interactions. - Experience leading cross-functional teams and influencing development strategies. - Expertise in statistical methods applicable to clinical development, including adaptive designs, longitudinal analyses, survival analyses, and integrated analyses. - Experience overseeing CROs and external statistical vendors. - Proficiency in SAS and/or R. - Strong understanding of ICH, FDA, EMA, and other global regulatory guidance. - Experience with real-world evidence, observational studies, HEOR, or post-marketing research is a plus. - Experience in immunology, inflammation, autoimmune disease, or related therapeutic areas is preferred.

🏢 Summary: The Senior Manager / Associate Director, Statistical Programming leads and oversees statistical programming activities across clinical development programs, ensuring high-quality, regulatory-compliant deliverables for trials and submissions. The role drives strategy, vendor oversight, CDISC standards implementation, and cross-functional collaboration while mentoring programming teams. It offers significant impact on regulatory submissions, data standards, and biometrics process innovation. 🗂️ Requirements: Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or related quantitative field (or Bachelor’s with significant relevant experience), 7+ years (Senior Manager) or 9+ years (Associate Director) statistical programming experience in biotech, pharma, or CRO, Experience as lead programmer supporting clinical development programs and regulatory submissions, Advanced proficiency in SAS programming (Base, Stat, Graph, Macro, SQL), Extensive experience with CDISC standards (SDTM, ADaM, Define.xml), Strong knowledge of ICH, GCP, FDA, EMA regulatory requirements, Experience managing CROs, FSPs, or external programming vendors 📃 Skills: SAS, BaseSAS, SASStat, SASGraph, SASMacro, SQL, R, CDISC, SDTM, ADaM, Define.xml, Pinnacle21, ICH, GCP, FDA, EMA 🏢 Description: Position Summary: The Senior Manager / Associate Director, Statistical Programming will provide strategic and operational leadership for statistical programming activities across one or more clinical development programs. This individual will be responsible for the planning, execution, oversight, and delivery of statistical programming outputs supporting clinical trials, regulatory submissions, publications, and internal decision-making. The successful candidate will serve as a key partner to Biostatistics, Clinical Data Management, Clinical Operations, Medical, Medical Affairs, Regulatory Affairs, Pharmacovigilance, and external vendors to ensure high-quality, compliant, and timely programming deliverables. This role offers the opportunity to influence programming standards, mentor team members, and contribute to the continued growth of the Biometrics organization. Essential Duties and Responsibilities: Statistical Programming Leadership Lead statistical programming activities for one or more clinical studies, programs, or therapeutic areas. Provide strategic oversight and accountability for the development, validation, and delivery of statistical programming outputs, including SDTM and ADaM data packages (SDRG, ADRG, Define.xml, submission-ready datasets), and Tables, Listings, Figures (TLFs). Ensure programming deliverables meet quality, timeline, regulatory, and audit-readiness requirements. Support regulatory submissions, health authority interactions, publications, and ad hoc analyses. Vendor and CRO Oversight Manage and oversee outsourced statistical programming activities conducted by CROs and external partners. Review and validate datasets, TLFs, specifications, and programming documentation generated by vendors. Monitor vendor performance, timelines, quality metrics, and resource allocation to ensure successful project execution. Establish and maintain effective partnerships with external programming and biometrics vendors. Cross-Functional Collaboration Partner closely with Biostatistics, Data Management, Clinical Operations, Medical, Medical Affairs, Regulatory Affairs, Pharmacovigilance, and other stakeholders to deliver high-quality clinical data and analyses. Review and provide programming input on Protocols, Statistical Analysis Plans (SAPs), Data Management Plans (DMPs), CRFs, annotated CRFs, data review plans, and dataset and TLF specifications. Collaborate on the development of data review tools, dashboards, visualizations, and other statistical applications to support clinical development activities. Communicate programming strategies, timelines, risks, and resource needs to project teams and leadership. Standards, Innovation, and Process Improvement Contribute to the development, implementation, and continuous improvement of internal statistical programming standards, processes, and best practices. Assist with establishing framework of programming environment, including library of macros. Drive adoption of CDISC standards, programming automation, and innovative analytical solutions. Maintain expertise in regulatory requirements, industry standards, and emerging technologies related to statistical programming. Support inspection readiness and represent Statistical Programming during audits and regulatory inspections as needed. Team Leadership and Development Mentor, coach, and develop junior statistical programmers to support individual growth and organizational success. Provide leadership and technical guidance to internal and external programming teams. Participate in recruiting, onboarding, and developing programming talent. Foster an inclusive, collaborative, and psychologically safe environment that encourages innovation, learning, and accountability. Required Education and Experience: Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related quantitative discipline. Bachelor's degree with significant relevant experience will also be considered. Sr Manager: 7+ years of statistical programming experience within the biotechnology, pharmaceutical, or CRO industry; Associate Director: 9+ years of experience. Demonstrated experience serving as a lead programmer supporting clinical development programs and regulatory submissions. Advanced proficiency in SAS programming, including Base SAS, Stat, Graph, Macro, SQL, and generation of submission-ready deliverables. Working knowledge of R or other modern statistical programming languages is a plus. Experience with producing publication-quality statistical graphics using SAS/R is a plus. Experience with building/contributing to global SAS macro library for TFL generation is highly desirable. Extensive experience with CDISC standards, including SDTM, ADaM, Define.xml, controlled terminology, and regulatory submission requirements. Experience with Pinnacle 21 is a plus. Strong understanding of ICH guidelines, GCP, FDA, EMA, and other global regulatory requirements. Experience managing external CROs, FSPs, or programming vendors. Excellent project management, organizational, communication, and stakeholder management skills. Preferred Experience supporting multiple clinical programs from early development through regulatory submission. Experience implementing programming standards, automation initiatives, or modern analytics platforms.

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Executive leadership role responsible for defining and executing enterprise-wide data strategy, governance, and analytics initiatives to drive business value and digital transformation. The position oversees data architecture, quality, privacy, and advanced analytics, ensuring scalable platforms and regulatory compliance. It partners with executive leadership to embed AI and data-driven decision-making across the organization. 🗂️ Requirements: Bachelor's degree in Data Science, Computer Science, Business, or related field, 12+ years of experience in data management, analytics, or related roles, Proven leadership experience in a senior data or technology role, Strong knowledge of data governance and data architecture, Experience with cloud platforms, Knowledge of data privacy regulations, Experience leading large-scale transformation initiatives 📃 Skills: AWS, Azure, GCP, AI, MachineLearning, Analytics, BusinessIntelligence, DataGovernance, DataArchitecture, DataWarehousing, Cloud, GDPR, CCPA 🏢 Description: Role Overview The Chief Data Officer (CDO) is a senior executive responsible for the organization's data strategy, governance, and utilization. This role ensures that data is treated as a strategic asset, driving business value, innovation, and informed decision-making across the enterprise. The CDO oversees data management, analytics, privacy, and data-driven transformation initiatives. Key Responsibilities Data Strategy & Leadership - Develop and execute a comprehensive enterprise data strategy aligned with business objectives - Serve as the organization's thought leader on data, analytics, and AI - Promote a data-driven culture across all departments Data Governance & Quality - Establish and enforce data governance frameworks, policies, and standards - Ensure data quality, integrity, consistency, and accessibility - Oversee data stewardship and lifecycle management Analytics & Business Intelligence - Lead advanced analytics, reporting, and business intelligence initiatives - Enable predictive and prescriptive analytics to support strategic decisions - Partner with business units to identify data-driven opportunities Data Architecture & Infrastructure - Collaborate with IT to design scalable data platforms and architectures - Oversee data integration, warehousing, and cloud data initiatives - Ensure systems support current and future business needs Privacy, Security & Compliance - Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) - Work closely with legal, risk, and cybersecurity teams - Mitigate risks related to data usage and storage Innovation & Transformation - Drive innovation through AI, machine learning, and emerging technologies - Identify new revenue streams or efficiencies through data monetization - Lead digital transformation initiatives involving data Stakeholder Engagement - Collaborate with C-suite leaders to align data initiatives with business goals - Communicate insights and strategy to executive leadership and the board - Build strong cross-functional partnerships Qualifications - Bachelor's degree in Data Science, Computer Science, Business, or related field (Master's or MBA preferred) - 12+ years of experience in data management, analytics, or related roles - Proven leadership experience in a senior data or technology role - Strong understanding of data governance, data architecture, and analytics - Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tools - Knowledge of data privacy and regulatory requirements - Demonstrated ability to lead large-scale transformation initiatives Compensation The expected annual salary for this position is between $225,000 and $275,000 at the start of employment. In addition to base salary, the total rewards package includes eligibility for an annual bonus, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement. Additional Information The organization will make reasonable accommodations to employees with disabilities, pregnancy-related conditions, victims of domestic violence, and employees with religious observance obligations, except where doing so would result in undue hardship. All information will be kept confidential according to EEO guidelines. The position operates on a hybrid schedule.

🏢 Summary: Leadership role focused on building and managing an AI & Data practice, driving client engagement, technical strategy, and delivery across AI, machine learning, data engineering, and cloud platforms. The position combines practice leadership, pre-sales support, team development, and hands-on technical oversight for scalable AI and data solutions. The role is on-site in Greensboro, NC, Broomfield, CO, or Troy, MI with competitive salary and performance bonus. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Knowledge of Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with data engineering platforms and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor's degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, PromptEngineering, Containerization, Orchestration 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience with AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience with Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience with Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience with MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through recruitment, coaching and mentoring, internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus Note: This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement: Candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Leadership role focused on managing and scaling an AI & Data practice, including technical leadership, client engagement, pre-sales support, and innovation across AI, ML, cloud, and data engineering domains. The position involves leading technical teams, developing AI solutions and reusable assets, and driving competency development and best practices. The role is onsite in Greensboro, NC, Broomfield, CO, or Troy, MI, with a salary range of $160,000–$190,000 plus bonus. 🗂️ Requirements: 12-15 years experience in consulting, engineering services, or technology-driven organizations, 5+ years experience in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Bachelor's degree in Computer Science, Data Science, AI, or related field, Experience with Generative AI technologies, Experience with AI/ML frameworks, Experience with Data Engineering tools and distributed systems, Experience with Cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Skills & Competency Management Create, maintain, and manage the practice skill matrix. Identify competency gaps and develop capability-building plans. Develop and coordinate technical training programs and certification initiatives. Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training Support career development planning and succession management within the practice. Promote technical communities, best practices, and continuous learning initiatives. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience in AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience in Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience in Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience in MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range $160,000-$190,000 + Annual Performance Bonus The actual salary offered is dependent on various factors including location, qualifications, skills, education, training, and experience. This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement As a federal contractor, all candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Strategic business-facing Data Owner role focused on governing and standardizing Sales & Commercial data across 38+ global markets. The position ensures commercial data quality, consistency, and proper usage to support data-driven decision-making, collaborating closely with regional teams and IT. It centers on defining data standards, governance rules, and aligning stakeholders rather than building technical infrastructure. 🗂️ Requirements: 5–8 years in commercial, sales operations, or business analytics in a multinational organization, Strong knowledge of commercial data (sales pipeline, revenue attribution, pricing, market share, KPIs), Experience defining data standards and driving cross-regional alignment, Hands-on experience with Salesforce or other CRM systems, Experience applying data governance frameworks at global scale, Ability to collaborate with business and technical stakeholders, English proficiency at B2–C1 level 📃 Skills: Salesforce, CRM, DataGovernance, DataQuality, DataStandards, DataCatalog, Alation, Collibra, Qlik, PowerBI, Looker, DataMesh 🏢 Description: Our customer is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world-class science and innovative crop solutions, our team of experts in over 90 countries is working to transform how crops are grown. This is a strategic, business-facing role at the heart of how we are transforming the way the client manages and use commercial data. As we shift towards a more data-driven organisation, the Data Owner for the Sales & Commercial domain plays a critical role in ensuring that commercial data is trusted, well governed, and fit to power business decisions across 38+ markets globally. This role is primarily on the business side. You will not be expected to build or maintain data infrastructure — that is the responsibility of the IT and engineering teams who will support you. Your focus is on defining what good looks like for commercial data: the standards, the quality, the ownership, and the business rules that govern how data is created, used, and maintained across the organisation. You will sit within the Federated Governance Council alongside other Data Owners and work closely with the Data Product Hub Center of Excellence, regional commercial teams, and country-level data stewards to drive alignment and adoption of governance standards globally. Responsibilities Define and maintain data standards, definitions, and quality rules for the Sales & Commercial domain across all markets Act as the primary business decision-maker for your domain — governing data access, quality thresholds, and appropriate usage Work closely with Global, Regional, and Local Data Stewards to ensure governance standards are understood, adopted, and consistently applied at every level of the organisation Drive alignment on commercial data definitions across regions and business units, engaging with Subject Matter Experts (SMEs) to understand the intricacies of how commercial data is created and used in each market Apply governance frameworks and standards globally, adapting their implementation in collaboration with regional and country teams to reflect local realities without compromising global consistency Collaborate with the Technical Domain Lead and IT teams to ensure data products in the Data Product Hub accurately reflect business requirements Represent the Sales & Commercial domain in the Federated Governance Council, contributing to cross-domain decisions and standards Oversee data quality monitoring — ensuring issues are identified, escalated, and resolved with the right owners at the right level Lead the onboarding and continuous development of Regional Data Owners and Country Data Stewards within your domain Contribute to the Data Readiness Assessment (DRA) rollout, ensuring commercial data maturity is accurately measured, reported, and improved over time Support the broader data-driven transformation agenda by championing good data practices within the commercial organisation Qualifications 5 to 8 years of experience in a commercial, sales operations, or business analytics role within a large multinational organisation Strong understanding of commercial data — sales pipeline, revenue attribution, pricing, market share, and related KPIs Proven ability to define data standards and drive alignment across multiple business units, regions, and markets Experience working with Salesforce or another CRM tool as a business user, process owner, or domain expert — understanding how commercial data flows through the platform Comfortable applying governance frameworks and standards at a global scale, working collaboratively with regional and local teams to ensure adoption Strong stakeholder management and influencing skills — able to work effectively with both business leaders and technical teams English proficiency at B2 to C1 level — strong enough to lead discussions and workshops in an international environment Self-driven and structured — able to manage multiple workstreams across regions and keep progress visible to stakeholders Will be a plus: Exposure to data governance frameworks, data mesh, or federated governance models Familiarity with data catalogue or data quality tools such as Alation or Collibra Experience with BI tools such as Qlik, Power BI, or Looker Background in agriculture, crop protection, or FMCG Perks and Benefits: Flexible work schedule. Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract. Present on the occasion of birthday, wedding, child birth. E-learning accounts for Coursera, O'Relly, Udemy. Corporate language school.

🏢 Summary: Leadership role responsible for driving inbound sales pipeline growth, market expansion, and revenue acceleration within a highly regulated pharmacy environment. The position leads sales development strategy, team performance, AI-driven analytics adoption, and cross-functional collaboration to optimize forecasting, prospecting, and operational execution. Focused on scalable processes, compliance, and data-driven decision-making to achieve aggressive commercial targets. 🗂️ Requirements: Bachelor's degree in Business, Marketing, Communications, Healthcare Administration or related field, Minimum 5 years experience in sales development, business development, inside sales, or commercial operations, Minimum 3 years direct people leadership experience, Experience with CRM platforms and sales engagement technologies, Experience using AI-enabled analytics and business tools, Strong knowledge of inbound sales methodologies and pipeline management, Experience in regulated, fast-paced environments, Valid driver's license 📃 Skills: CRM, AI, Analytics, Forecasting, Automation, Reporting, Segmentation, LeadScoring, Dashboards, Workflow, SalesEngagement 🏢 Description: POSITION SUMMARY The Manager, Sales Development drives pipeline generation, market expansion, and revenue acceleration by leading a high-performing inbound sales organization within a hyper-growth, highly regulated 503A and 503B pharmacy environment. This role owns sales development strategy, prospecting execution, talent performance, forecasting accuracy, and cross-functional alignment across commercial operations, marketing, analytics, and customer engagement initiatives. The leader leverages AI as a force multiplier to increase speed, scale, lead quality, workflow efficiency, and data-driven decision-making while strengthening operational rigor and customer acquisition outcomes. RESPONSIBILITIES Sales Leadership Pipeline Ownership: Lead and optimize the sales development function by establishing scalable inbound strategies, driving qualified pipeline growth, and aligning prospecting priorities with enterprise revenue objectives. Utilize AI-enabled analytics, workflow automation, and performance intelligence tools to improve targeting precision, accelerate conversion velocity, and enhance forecasting accuracy. Coach high-performing teams through structured accountability, measurable execution standards, and continuous development practices. Talent Development: Recruit, develop, and retain high-performing sales development talent within a fast-paced, highly regulated healthcare environment. Implement structured onboarding, coaching frameworks, and performance management processes. Leverage AI-driven coaching insights, conversation intelligence, and productivity analytics to personalize development plans and accelerate performance outcomes. Performance Execution: Drive operational excellence through disciplined management of sales activity metrics, pipeline health, prospect engagement, and conversion performance. Establish rigorous performance expectations and implement corrective actions to improve efficiency and accountability. Utilize AI-powered dashboards, predictive insights, and reporting tools to strengthen decision-making and optimize resource allocation. Market Expansion Prospecting Strategy: Design and execute targeted inbound prospecting initiatives that expand market reach and accelerate customer acquisition. Partner with marketing, sales leadership, and commercial operations to align outreach strategies with business priorities. Utilize AI-enabled segmentation, lead scoring, and behavioral insights to improve prospect quality and engagement strategies. Customer Engagement: Establish consistent communication standards and data-informed outreach strategies aligned with growth objectives. Collaborate cross-functionally to ensure seamless customer experiences while maintaining regulatory compliance. Leverage AI-supported engagement tools and automation platforms to increase responsiveness and improve conversion effectiveness. Growth Alignment: Align sales development initiatives with enterprise growth strategy by translating priorities into measurable execution plans and operational targets. Apply AI-enabled forecasting, trend analysis, and performance monitoring tools to identify opportunities and accelerate growth initiatives. Operational Excellence Process Optimization: Improve sales development processes and workflows to support scalability and execution rigor. Establish performance benchmarks and implement solutions that enhance productivity and customer acquisition outcomes. Utilize AI-driven automation and reporting capabilities to streamline activities and improve data accuracy. Data Governance: Ensure integrity and accuracy across sales development data and reporting systems. Partner with commercial operations and analytics teams to standardize measurement practices and improve business intelligence. Leverage AI-powered analytics platforms to identify trends and optimize pipeline management. Compliance Management: Maintain adherence to organizational policies and regulatory requirements within a highly regulated environment. Reinforce accountability and ethical conduct across all sales development activities. Utilize AI-enabled monitoring tools and workflow controls to strengthen compliance visibility and reduce operational risk. Cross-Functional Collaboration Strategic Partnership: Build collaborative partnerships across sales, marketing, analytics, customer engagement, and operational teams to support scalable growth. Utilize AI-supported collaboration platforms and reporting tools to improve transparency and execution. Business Communication: Deliver clear communication to executive leadership and stakeholders regarding performance results and strategic priorities. Translate complex data into actionable business insights using AI-driven reporting and visualization tools. Innovation Leadership: Identify emerging technologies and process enhancements to strengthen sales development effectiveness. Encourage continuous learning and data-driven experimentation while maintaining operational discipline within a regulated environment. KNOWLEDGE AND SKILLS - Expertise leading sales development organizations and inbound prospecting strategies - Proficiency with CRM platforms, sales engagement technologies, AI-enabled analytics tools, forecasting systems, workflow automation, and reporting tools - Strong communication, coaching, and stakeholder management skills - Ability to optimize business processes and implement scalable solutions in regulated environments EXPERIENCE AND QUALIFICATIONS - Bachelor's degree in Business, Marketing, Communications, Healthcare Administration, or related field required; Master's preferred - Minimum 5 years of progressive experience in sales development, business development, inside sales, or commercial operations leadership - Minimum 3 years of direct people leadership experience - Experience utilizing CRM platforms, sales engagement technologies, analytics tools, and AI-enabled business solutions - Strong understanding of inbound sales methodologies, prospecting strategies, and pipeline management - Experience operating within highly regulated, fast-paced environments - Valid driver's license required - Preferred certifications: CSP, CBDP, SSLC or related credentials Employee Benefits, Health and Wellness: Comprehensive benefits including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: Role requires frequent communication, prolonged stationary work, regular computer use, movement around the office and campus, and physical activities such as standing, walking, reaching, climbing, balancing, stooping, kneeling, crouching, or crawling.

🏢 Summary: Full-time Cardiovascular System Medical Director role combining 0.6 FTE clinical cardiology practice with 0.4 FTE leadership oversight of the cardiovascular service line. The position leads strategic development, operational governance, quality improvement, and performance benchmarking across hospital and ambulatory settings. Responsibilities include driving evidence-based care, improving patient access and outcomes, and aligning financial and operational goals with system strategy. 🗂️ Requirements: MD or DO degree, Active medical license, Board certification in Cardiology, Minimum 5 years clinical practice experience, Leadership experience in a clinical setting 📃 Skills: Cardiology, Leadership, Benchmarking, QualityImprovement, PatientSafety, KPIs, ValueBasedCare, InfectionControl, ClinicalProtocols, PerformanceMetrics 🏢 Description: Cardiovascular System Medical Director Opportunity Criteria Specialty: Cardiology Candidate Type: MD, DO Visa Accepted: J-1 or H-1B Salary Range: $423,222.00 to $752,550.00 / Year Loan Repayment: Negotiable Bonuses Offered: Negotiable The System Cardiovascular Service Line Medical Director serves as the clinical leader for strategic oversight, operational governance, and operational execution for the cardiovascular service line. This position reports to the Chief Operating Officer or designee. The CV Medical Director works closely with an administrative dyad partner and collaborates with hospital and medical group leadership involved in the delivery of care within the cardiovascular clinical service line. The role focuses on strategic development of the service line, identifying opportunities to expand services and improve patient access. The Medical Director establishes a culture of evidence-based, collaborative clinical care and continuous improvement in outcomes and patient experience. The position includes a minimum clinical responsibility of 0.6 FTE and 0.4 FTE Medical Directorship, as mutually agreed upon. Qualifications: - MD or DO degree - Active medical license and board certification in cardiology - 5+ years in clinical practice with leadership experience and training, preferred Duties and Responsibilities: - Provide strategic oversight, operational management, and leadership to the cardiovascular service - Chair and facilitate cardiovascular service line meetings and represent the service on hospital committees - Develop and monitor service line goals based on national benchmarks and best practices - Align KPIs to improve patient access, quality of care, and financial performance - Lead meetings to review performance indicators including patient flow, quality outcomes, scheduling, and operational metrics - Provide clinical leadership and operational support to ambulatory practices - Ensure participation in GME programs as needed Quality and Safety: - Develop a culture of safety within the cardiovascular service line - Improve operational efficiencies, standardize treatment protocols, and enhance patient throughput - Lead quality improvement and patient safety initiatives including value-based purchasing metrics, infection control rates, and evidence-based performance metrics - Report progress on strategic and operational goals to Medical Executive Committee and Administration - Identify and monitor quality metrics and implement improvement strategies - Review and update standard operating procedures, policies, and guiding documents to meet accreditation and performance standards Develop People: - Foster strong relationships between providers and the organization - Participate in recruitment, selection, and onboarding of providers and key leaders - Provide performance feedback and coaching to support professional development - Collaborate with administrative partners to ensure effective program leadership - Address and resolve complaints and lead continuous improvement efforts Strategic Growth and Operations: - Advise on system redesign and growth opportunities - Assist in development of a cardiovascular strategic plan - Design workflows reflecting best practices for inpatient and outpatient procedures - Provide input on budgets, billing, equipment, staffing, and annual objectives - Ensure achievement of patient volume goals and financial sustainability - Collaborate on supply chain optimization and standardization of clinical practice Benefits: - Competitive salary range - Negotiable loan repayment - Negotiable bonuses