Manager, Data Analytics

🏢 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: Leadership role overseeing regional account management for post-sale revenue, retention, and expansion within a highly regulated 503A/503B healthcare environment. Responsible for AI-enabled forecasting, growth strategy, compliance-embedded execution, and executive customer engagement to drive predictable, scalable performance. Leads and develops high-performing teams while aligning cross-functional operations to ensure quality, regulatory adherence, and sustainable growth. 🗂️ Requirements: 10–15 years in account management, customer success, or post-sale commercial leadership, 1–2 years leading leaders, Bachelor’s degree or equivalent experience, Proven success improving retention and expansion in regulated or complex environments, Advanced proficiency in CRM and forecasting tools, Experience with AI-driven analytics for pipeline and performance management, Strong knowledge of compliance and risk management in regulated industries, Experience in healthcare, life sciences, or similar regulated industry (preferred) 📃 Skills: CRM, AI, Analytics, Forecasting, Automation, Segmentation, Scoring, Dashboards, Compliance, RiskManagement 🏢 Description: Position Summary: The Director, Account Management – East/Southeast leads regional post-sale revenue performance, retention, and expansion across the customer base, directly impacting predictable growth, customer lifetime value, and enterprise trust. This role owns strategy, operating cadence, and leader development, ensuring disciplined execution, accurate forecasting, and compliant delivery. Leveraging AI as a force multiplier, the leader scales insight generation, prioritization, and decision quality to accelerate speed, consistency, and outcomes. Operating within a hyper-growth, highly regulated 503A/503B environment, the role aligns customer commitments with quality, regulatory, and operational realities. Success requires strong strategic thinking, rigorous execution, and exceptional learning agility to navigate complexity, elevate standards, and deliver durable, scalable performance while building teams and institutionalizing repeatable systems. Responsibilities: Regional Account Revenue Ownership - Own regional retention and expansion performance through AI-enabled account strategies and disciplined execution. - Develop scalable expansion frameworks leveraging AI-driven segmentation and opportunity scoring. - Establish high-confidence forecasting systems using AI-enhanced analytics and performance dashboards. Account Management Team Leadership - Build and coach high-performing managers through structured development plans and performance analytics. - Drive rigorous performance management using data-backed interventions and AI tools. - Lead structured hiring, succession planning, and workforce planning initiatives. Customer Stewardship and Executive Engagement - Own senior-level customer relationships, leading strategic conversations and negotiations. - Ensure consistent delivery of customer commitments through disciplined account planning and performance tracking. - Design and execute retention programs leveraging predictive analytics and health scoring. Compliance-Embedded Account Execution - Standardize workflows using AI-enabled automation, playbooks, and performance metrics. - Collaborate cross-functionally with Operations, Quality, Finance, Legal, and Sales. - Embed compliance, quality, and contractual guardrails into all account activities. Forecasting, Renewal Discipline, and Predictability - Leverage AI and advanced analytics to inform strategy and enhance decision-making. - Build scalable systems and governance models supporting rapid growth. - Champion continuous improvement through innovation and process refinement. Knowledge and Skills: - Advanced proficiency in CRM platforms, forecasting tools, and AI-driven analytics. - Strong leadership capability in team development and organizational design. - Deep understanding of regulated business environments, risk management, and compliance alignment. - Exceptional communication and strategic thinking skills. Experience and Qualifications: - 10 to 15 years of experience leading account management, customer success, or post-sale commercial organizations, with at least 1 to 2 years leading leaders. - Demonstrated success improving retention and expansion in regulated or complex environments. - Experience in healthcare, life sciences, or similarly governed industries preferred. - Bachelor’s degree required or equivalent experience considered. 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: Requires frequent communication, prolonged stationary positioning, regular use of hands and computer equipment, and movement throughout the office and corporate campus. Regular standing, walking, reaching, balancing, stooping, kneeling, crouching, or crawling may be required.

🏢 Summary: The role involves leading and executing digital transformation initiatives with a strong focus on AI-driven automation and data analytics to enhance operational efficiency and business growth. The position requires aligning digital strategy with business goals, overseeing multiple projects, and ensuring successful adoption of innovative technologies. The candidate will drive AI integration, automation strategies, and data-informed decision-making across the organization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Business, Engineering or related field, Minimum 7 years of experience leading complex digital transformation projects, Proven experience with AI-driven automation and Generative AI, Strong data analytics and complex data interpretation skills, Deep understanding of digital technologies and SaaS platforms, Experience in leading cross-functional technical teams, Product management experience delivering measurable value, Knowledge of change management principles 📃 Skills: AI, GenerativeAI, Automation, DataAnalytics, SaaS, DigitalTransformation, ProductManagement, Agile, ProjectManagement, DataAnalysis 🏢 Description: Introduction & Summary The Digital Transformation Team Lead will be responsible for spearheading the implementation of innovative digital strategies to enhance operational efficiency and drive business growth through AI integration. The ideal candidate will possess extensive expertise in AI-driven transformation, automation strategy, and data analytics, ensuring effective alignment of solutions with business objectives. Main Responsibilities Lead the organization’s digital strategy, ensuring alignment with business goals and managing multiple projects simultaneously. Oversee the execution of digital transformation initiatives, providing direction and leadership. Facilitate the delivery of impactful digital solutions, ensuring clarity on problem definition and stakeholder alignment. Enhance customer journeys by leveraging AI technologies to improve both customer and employee experiences. Utilize data-driven insights to inform decision-making and foster a culture of data analytics. Drive operational execution, ensuring initiatives are delivered on time, within scope, and with measurable impact. Engage with stakeholders for support on digital transformation initiatives, ensuring transparent communication. Manage change effectively to facilitate the smooth adoption of digital solutions. Build cross-functional teams and foster a culture of innovation and collaboration. Mitigate risks associated with digital initiatives, ensuring project quality standards are met. Continuously evaluate emerging technologies to maintain a competitive edge. Key Requirements Bachelor's degree in a relevant field (e.g., Computer Science, Business, Engineering); a master's degree or relevant certifications are preferred. Minimum of 7 years of experience in leading complex digital transformation projects. Proven experience with AI-driven automation, including Generative AI. Strong analytical skills to interpret complex data and make informed decisions. Deep understanding of digital technologies and SaaS platforms. Demonstrated leadership in mentoring and building high-performing teams. Excellent product management capabilities to drive measurable value. Outstanding communication and negotiation skills. Proficiency in change management principles. Relevant certifications in project management or digital transformation are a plus. Nice to Have Experience in AI technologies and their strategic application in business. Knowledge of agile methodologies and principles. Strong stakeholder engagement experience in technical fields.

🏢 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: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Customer Success Manager role focused on managing the full post-sale customer lifecycle within a regulated healthcare and pharmacy environment. The position emphasizes customer onboarding, retention, operational coordination, predictive analytics, AI-driven insights, and cross-functional collaboration to improve customer outcomes and support scalable growth. Candidates should have experience with CRM, BI tools, customer success operations, and healthcare-related environments. 🗂️ Requirements: 2–5 years in Customer Success, healthcare operations, patient services, specialty pharmacy, or regulated enterprise support, Bachelor's degree in healthcare administration, life sciences, nursing, public health, operations, health informatics, supply chain, or equivalent experience, Proficiency with Salesforce CRM, Experience with customer success platforms, Strong Excel skills, Experience with Tableau or Power BI, Knowledge of customer lifecycle management and retention strategies, Ability to use analytics, automation, and AI-driven tools, Strong analytical and communication skills, HIPAA training required 📃 Skills: Salesforce, Excel, Tableau, PowerBI, Gainsight, AI, CRM, Analytics, Automation, HIPAA, QBRs, EBRs 🏢 Description: POSITION SUMMARY The Customer Success Manager drives measurable customer outcomes by owning the complete post-sale lifecycle across assigned 503A and 503B customer portfolios, ensuring adoption, retention, satisfaction, and renewal readiness while advancing strategic growth objectives. This role orchestrates cross-functional execution, translates customer insights into scalable improvements, and proactively mitigates operational risk within a highly regulated, hyper-growth environment. Leveraging AI as a force multiplier, the Customer Success Manager accelerates decision-making, prioritization, predictive risk identification, customer engagement, and operational quality through data-driven intelligence and automation. RESPONSIBILITIES Customer Lifecycle Management - Lifecycle Ownership: Serve as the single accountable owner for assigned customer relationships throughout the post-sale lifecycle, leading onboarding, adoption, enablement, customer health monitoring, retention activities, and renewal readiness. Leverage AI-powered customer insights, predictive health scoring, and workflow automation to proactively identify risks, personalize engagement strategies, improve decision-making, and consistently deliver exceptional customer outcomes aligned with quality, compliance, and growth objectives. - Success Planning: Develop, execute, and continuously refine customer success plans that align customer goals with therapies, services, and operational capabilities. Utilize AI-enabled analytics to prioritize opportunities, monitor adoption milestones, identify emerging risks, and recommend data-driven interventions that improve utilization, strengthen customer confidence, accelerate value realization, and support long-term retention within a highly regulated 503A and 503B environment. - Relationship Excellence: Build trusted relationships through proactive communication, consultative guidance, and responsive customer engagement that strengthens satisfaction and loyalty. Apply AI-assisted sentiment analysis, communication recommendations, and customer intelligence to anticipate evolving needs, resolve concerns efficiently, capture meaningful feedback, and reinforce commitment to service excellence, innovation, and patient-focused outcomes. Customer Enablement and Operational Excellence - Customer Enablement: Lead onboarding, education, and ongoing customer coaching to ensure safe, compliant, and effective use of therapies, products, and workflows. Utilize AI-supported learning recommendations, knowledge resources, and personalized enablement strategies to accelerate customer proficiency, improve operational consistency, increase independence, and maximize long-term customer success while maintaining regulatory compliance. - Operational Coordination: Collaborate closely with Customer Service, Pharmacy Operations, Manufacturing, Fulfillment, Quality, Medical Affairs, Product Management, and Commercial teams to resolve customer challenges and improve service delivery. Leverage AI-enabled workflow visibility, intelligent case prioritization, and cross-functional insights to accelerate issue resolution, improve communication, reduce recurring problems, and enhance the overall customer experience without duplicating operational responsibilities. - Performance Monitoring: Monitor customer adoption, utilization, engagement, adherence, and operational performance using CRM, business intelligence, and AI-powered analytics tools. Translate performance trends into actionable recommendations, coordinate timely interventions, maintain accurate customer documentation, and ensure reliable reporting that supports informed decision-making, operational excellence, and scalable customer success execution. Business Insights and Continuous Improvement - Insight Generation: Capture customer feedback, operational observations, and engagement trends to identify opportunities that improve products, services, processes, and customer experiences. Utilize AI-driven analytics, pattern recognition, and predictive insights to transform customer intelligence into meaningful recommendations that support innovation, operational improvements, and organizational decision-making. - Risk Management: Continuously evaluate customer health indicators, engagement patterns, operational performance, and compliance considerations to proactively identify and mitigate risks before they impact customer outcomes. Apply AI-powered predictive monitoring and root-cause analysis to prioritize corrective actions, coordinate escalations, strengthen business continuity, and maintain customer confidence within a highly regulated operating environment. - Continuous Improvement: Contribute to scalable operational excellence by documenting best practices, improving customer success playbooks, standardizing workflows, and supporting organizational learning initiatives. Leverage AI-assisted process optimization, workflow automation, and knowledge management to improve execution quality, increase efficiency, enhance customer satisfaction, and enable sustainable growth across the Customer Success organization. KNOWLEDGE AND SKILLS - Demonstrated expertise with Salesforce CRM, Customer Success platforms, Microsoft Excel, Tableau or Power BI, AI-enabled analytics, workflow automation, and customer intelligence technologies. - Strong knowledge of customer lifecycle management, onboarding, enablement, customer health scoring, retention strategies, renewal readiness, risk management, and continuous improvement methodologies. - Exceptional communication, executive relationship management, strategic planning, problem-solving, collaboration, coaching, facilitation, and cross-functional leadership skills. - Proven ability to leverage artificial intelligence, predictive analytics, automation technologies, and data-driven decision-making to improve operational efficiency, customer satisfaction, execution quality, scalability, and organizational performance. EXPERIENCE AND QUALIFICATIONS - 2–5 years in Customer Success, healthcare operations, patient services, specialty pharmacy, or regulated enterprise support roles. - Bachelor's degree in healthcare administration, life sciences, nursing, public health, operations, health informatics, supply chain, or equivalent experience. - Proficiency with CRM (Salesforce), customer success platforms and BI tools (Tableau/Power BI); strong Excel. - Experience using analytics, risk models, or AI-driven tools preferred. - Proven success-coaching, training, and enablement abilities; strong analytical and communication skills. - Proactive, ownership-driven, outcome-focused mindset. - Experience in specialty pharmacy, compounding (503A/503B), healthcare SaaS, regulated environments, patient adherence programs, or institutional workflows is preferred. - Familiarity with QBRs/EBRs and Customer Success platforms (e.g., Gainsight) is desirable. - Formal training/working knowledge of USP<797>/<800> or other compounding standards is desirable. - HIPAA training required on hire and annually. - Preferred certifications: CCSM, Lean, Six Sigma. Employee Benefits, Health and Wellness - Medical, dental, and vision coverage - Paid time off - 401(k) matching - Wellness perks - IV therapy - Compounded medications Physical Requirements - Frequent computer and office device usage - Regular standing, walking, reaching, balancing, stooping, kneeling, crouching, and crawling - Ability to remain stationary for extended periods

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: The Director Clinical Data Management leads and oversees all clinical data management activities across multiple clinical trials, ensuring high-quality, inspection-ready data to support regulatory submissions and business objectives. This role sets data strategy, manages CROs and vendors, and drives risk-based quality and process excellence across Phase I–III programs. The position collaborates cross-functionally to deliver compliant data aligned with global regulatory standards. 🗂️ Requirements: BS/BA in Life Sciences, Engineering, Computer Science, Mathematics, Statistics or related field, 12+ years (MS) or 15+ years (BS) in clinical data management in biotech, pharma, or CRO, 5+ years of people management experience, Experience supporting Phase I–III clinical trials, Experience overseeing CROs and external data management vendors, Strong knowledge of CDISC standards, Strong knowledge of GCP and ICH Guidelines, Strong knowledge of FDA and global regulatory requirements, Experience with modern EDC systems (Medidata Rave, Veeva CDMS, Oracle or equivalent), Experience with risk-based quality management (RBQM) 📃 Skills: CDISC, GCP, ICH, FDA, EDC, Medidata, Rave, Veeva, Oracle, RBQM 🏢 Description: Position Summary: The Director Clinical Data Management provides strategic and operational leadership for all clinical data management activities across the clinical development portfolio. This individual serves as the functional leader for Data Management, responsible for establishing data strategy, overseeing external partners, driving process excellence, and ensuring the delivery of high-quality, inspection-ready clinical data that supports clinical development, regulatory submissions, and business objectives. Essential Duties and Responsibilities: Lead and oversee all clinical data management activities across multiple clinical studies and development programs. Develop and implement data management strategies that support clinical, regulatory, and business objectives. Provide leadership and oversight of CROs and technology vendors responsible for data management deliverables. Ensure quality, integrity, consistency, and timely availability of clinical trial data. Collaborate closely with Biostatistics, Statistical Programming, Clinical Operations, Clinical Development, Medical Monitoring, Regulatory Affairs, and Pharmacovigilance teams. Review and approve key study documentation including: Data Management Plans Edit Check Specifications CRF Design Data Review Plans Database Build and Validation Documentation Drive risk-based data review and quality management practices. Support regulatory inspections and audits. Contribute to submission readiness activities including NDA, BLA, MAA, and other global regulatory filings. Build scalable data management processes, standards, and SOPs as the organization grows. Mentor and develop internal team members and consultants. Required Education and Experience: BS/BA degree in Life Sciences, Engineering, Computer Science, Mathematics, Statistics, or related field; MS/MA degree preferred. 12+ (if MS/MA degree) or 15+ (if BS/BA degree) years of clinical data management experience within biotechnology, pharmaceutical, CRO, or related environments. 5+ years of people management experience. Demonstrated experience supporting Phase I–III clinical trials. Experience overseeing external data management vendors and CRO partnerships. Strong understanding of: CDISC standards GCP ICH Guidelines FDA and global regulatory requirements Experience with modern EDC systems such as Medidata Rave, Veeva CDMS, Oracle, or equivalent platforms. Additional Skills, Knowledge, Abilities: Experience with risk-based quality management (RBQM).

🏢 Summary: The role focuses on managing end-to-end data management and dashboarding for Digital Reality applications, ensuring accurate reporting and operational performance monitoring. It involves developing KPIs, building Power BI dashboards, integrating systems, and automating processes using scripting and APIs. The position also supports system enhancements, compliance, documentation, and user training in a cross-functional environment. 🗂️ Requirements: MCA or Bachelor's degree in Computer Science or Electronics, 3–4 years of relevant experience in data management or application support, Proficiency in Python, Proficiency in HTML, Proficiency in MySQL, Expertise in Power BI including data modeling and DAX, Experience with scripting and APIs for automation, Knowledge of IT infrastructure and cloud systems, Strong analytical and problem-solving skills, Ability to document issues and provide technical documentation 📃 Skills: Python, HTML, MySQL, PowerBI, DAX, VSCode, APIs, Azure, DevOps, ServiceNow, ITIL 🏢 Description: Summary: This role focuses on managing the data and dashboards for Digital Reality applications. The primary goal is to ensure effective data management, system integration, and reporting for operational performance within the organization. Responsibilities: Manage end-to-end data management and dashboarding, ensuring accuracy and relevance. Develop KPIs and dashboards to monitor operations and user data effectively. Collaborate with cross-functional teams to streamline operations. Track technological advancements and suggest system enhancements. Ensure compliance with internal policies and industry standards. Document issues and propose resolutions to management. Provide training to users regarding systems and equipment. Analyze and refine processes to improve service delivery. Must Haves: MCA or Bachelor's degree in Computer Science or Electronics. 3-4 years of relevant experience. Proficiency in Python, HTML, MySQL, and tools like Visual Studio Code & Power BI. Expertise in Power BI, particularly in data modeling and DAX. Strong analytical and problem-solving skills. Knowledge of IT infrastructure and cloud systems. Experience in scripting and using APIs for automation. Excellent communication and documentation skills. Nice to Haves: Familiarity with Azure and DevOps. Knowledge of Service Now as a service management tool. ITIL v4 Certification. Other Details: Location: Not specified. Team Structure: Involves collaboration with cross-functional teams. Reporting Lines: Not specified; likely involves stakeholder interaction. Tools/Methodologies: Focus on Power BI and software development tools. Reason (Must Have): MCA or Bachelor's degree: Required to ensure a foundational understanding of computer science principles relevant to the data management tasks. 3-4 years experience: Ensures the candidate has enough hands-on experience dealing with the complexities involved in data management and application support. Python and Power BI Proficiency: Essential for developing effective dashboards and automating reporting processes, directly linking to KPIs and operational monitoring. Analytical skills: Critical for problem-solving within system integration and performance tracking responsibilities. Reason (Nice to Have): Knowledge of Azure & DevOps: Provides a competitive edge for managing cloud applications, enhancing operational performance and flexibility. Service Now knowledge: Beneficial for managing service requests and incidents, facilitating smoother operational support. ITIL Certification: Indicates an understanding of service management best practices, adding value to process improvement aligned with industry standards. Trust Score: Score: High Evidence: The description is clear, with detailed responsibilities and specific technologies outlined, allowing for effective candidate sourcing.Sourcing Guidance / Clarifications Needed:The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search: Recommendation: Look for candidates with experience in data analytics alongside Python and Power BI . Rationale: This combination is often necessary for roles focused on data-driven decision-making and system integration. Recommendation: Identify candidates from industries heavily investing in cloud technologies or software development . Rationale: These sectors likely have professionals with relevant skills and experience related to the cloud-based aspects of this role. Recommendation: Consider profiles with prior experience in IT service management roles. Rationale: These candidates will have familiarity with operational processes that align with managing SRs and incidents, enhancing overall performance in Digital Reality applications.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready models for PBM and care navigation operations using dbt, SQL, and cloud data platforms. The position involves developing reliable data pipelines, implementing data quality frameworks, and enabling self-service and AI-assisted analytics capabilities. Candidates will collaborate across technical and business teams to create maintainable, auditable, and high-performance data solutions. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Effective communication and collaboration skills 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using Python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.