Digital Transformation Team Lead (Remote Short-Term Project)

🏢 Summary: This role leads the end-to-end digital transformation of Life Science operations, driving the adoption of disruptive technologies across R&D, clinical, and manufacturing domains. It focuses on designing and scaling compliant digital solutions that accelerate time-to-market and optimize regulated workflows. The position combines enterprise architecture, emerging technologies, and large-scale change leadership to embed digital innovation at the core of the organization. 🗂️ Requirements: Extensive experience in Life Science industry, Experience implementing digital solutions within GxP and HIPAA frameworks, Proven IT leadership in digital transformation or enterprise architecture, Expertise in Cloud, IoT, or DCT platforms, Experience leading technology implementation in regulated environments, Ability to manage digital platforms selection and validation, Experience moving PoC to enterprise-scale production, Strong English communication skills 📃 Skills: Cloud, IoT, DCT, GxP, HIPAA, EnterpriseArchitecture, DigitalTransformation, ChangeManagement, Automation, Compliance, Validation, ITLeadership 🏢 Description: Principal Digital Innovation & Transformation Lead Summary: The Principal Digital Innovation & Transformation Lead is responsible for spearheading the digital evolution of our organization. This role focuses on identifying, piloting, and scaling disruptive technologies that optimize research, development, and commercial operations. You will lead the cultural and technical shift required to integrate digital solutions into the core of our Life Science workflows. Key Requirements: Extensive experience in the Life Science industry , with extensive experience implementing digital solutions within GxP, HIPAA, and other regulatory frameworks. Experience in IT leadership, with a focus on digital transformation, Change Management, or Enterprise Architecture. Deep expertise in emerging technologies such as Cloud adoption, IoT in labs/manufacturing, or Decentralized Clinical Trials (DCT) platforms. Demonstrated ability to lead organizational change, influencing stakeholders at all levels to adopt new digital ways of working. Exceptional English communication skills, with the ability to create compelling narratives around digital ROI and patient-centric innovation. Main Responsibilities: Design and execute the global Digital Transformation strategy, ensuring it accelerates time-to-market for new therapies. Partner with Clinical, R&D, and Manufacturing heads to identify bottlenecks that can be solved through digital automation and advanced technology. Oversee the selection and implementation of digital platforms, ensuring they meet rigorous Life Science validation and compliance standards. Act as a change agent, fostering a digital-first mindset across the organization through training, workshops, and strategic communication. Manage the innovation budget and portfolio, moving projects from proof-of-concept (PoC) to full-scale enterprise production.

🏢 Summary: Senior leadership role leading enterprise-wide transformation in a Life Sciences environment, driving convergence of technology, process optimization, and regulatory-compliant digital adoption. Responsible for designing and executing multi-year transformation programs that enhance operational agility, innovation, and data-driven decision-making. Oversees establishment of a Transformation Management Office and alignment of IT, R&D, Clinical, and Finance functions. 🗂️ Requirements: Direct experience in Life Sciences industry, Deep knowledge of GxP, CSV, and Quality Systems, 10–12+ years leading large-scale transformation programs, Experience managing multi-year global transformation initiatives, Strong expertise in Change Management methodologies, Experience aligning IT, Finance, R&D, and Clinical operations, Experience operating within regulated environments 📃 Skills: GxP, CSV, QualitySystems, ChangeManagement, Transformation, Digital, Data, ProcessOptimization, Regulatory, IT, R&D, Clinical, Finance, Governance, TMO 🏢 Description: Summary: The Head of Transformation is a senior leadership role responsible for driving large-scale organizational change and operational excellence. This role focuses on the convergence of technology, process optimization, and cultural shifts to ensure the organization remains agile and competitive. You will lead the "big picture" initiatives that redefine how the company operates, innovates, and delivers value to patients in an increasingly digital world. Key Requirements: Direct professional experience within the Life Science industry , with a deep understanding of how regulatory requirements (GxP, CSV, and Quality Systems) impact business process transformation and digital adoption. Minimum of 10-12 years of professional experience, with a proven track record of leading complex, multi-year transformation programs in large, global organizations. Strong background in Change Management methodologies and the ability to navigate the unique cultural nuances of scientific, medical, and technical professional environments. Demonstrated ability to align IT, Finance, R&D, and Clinical operations toward a single, cohesive strategic vision. Exceptional English communication and storytelling skills, essential for gaining executive buy-in and motivating global teams through periods of significant change. Main Responsibilities: Design and lead the overarching transformation roadmap, ensuring all initiatives are prioritized based on their impact on scientific innovation and operational agility. Bridge silos between departments to create seamless, end-to-end business processes that leverage modern technology and data-driven insights. Establish a Transformation Management Office (TMO) to track progress, manage global budgets, and ensure the realization of expected business benefits. Act as a senior advisor to the Executive Leadership Team on emerging industry trends and the organizational capabilities required to address them. Lead organizational design and cultural change initiatives to ensure the company remains agile and receptive to new ways of working within a regulated landscape.

🏢 Summary: Tech Leader role in an international transformation program focused on modernizing core enterprise platforms across multiple countries. The position combines hands-on Java development with technical leadership, driving architecture decisions and ensuring high-quality delivery in an agile environment. You will design and evolve complex core systems while collaborating with cross-functional stakeholders. 🗂️ Requirements: 6+ years enterprise software development experience, Experience with complex core systems (configuration, integrations, business logic), Strong knowledge of Java and JVM ecosystem, Experience designing and implementing REST APIs, Strong SQL knowledge, Experience in Agile/Scrum environments, Ability to lead technical delivery and mentor developers, Understanding of clean code principles and design patterns, Fluent English 📃 Skills: Java, JVM, REST, SQL, Agile, Scrum 🏢 Description: About the role You will join an international technology team working on a large-scale transformation program focused on modernizing core business platforms across multiple countries. The team operates in an agile setup and is responsible for building and evolving critical systems that support key business processes. We are looking for a Tech Leader who combines strong hands-on engineering skills with the ability to drive technical decisions and ensure high-quality delivery. You will work closely with both business and technology stakeholders in a collaborative, cross-functional environment. Key responsibilities Lead technical delivery within the development team (hands-on + mentoring) Design and implement new features within a core enterprise platform Translate business requirements into scalable technical solutions Ensure high code quality, performance, and adherence to engineering best practices Collaborate with business analysts, testers, and stakeholders Maintain and enhance existing solutions Identify and reduce technical debt Actively participate in Scrum ceremonies and contribute to continuous improvement Create and maintain technical documentation Requirements 6+ years of experience in enterprise software development Experience working with complex core systems (configuration, integrations, business logic) Strong knowledge of: Java / JVM ecosystem REST APIs SQL Experience working in Agile/Scrum environments Proven ability to guide and mentor developers Solid understanding of clean code principles and design patterns Fluent English Nice to have Experience with large-scale, distributed systems Background in transformation or platform modernization projects Experience working in international environments What’s in it for you Participation in a large, international transformation program Work in a mature agile environment Real impact on architecture and platform evolution Collaboration with experienced teams across multiple locations Flexible form of cooperation: employment contract (UoP) or B2B

🏢 Summary: The role involves leading and coordinating the delivery of digital products, platform implementations, and integration initiatives, ensuring timely and high-quality execution. It combines hands-on delivery management with close collaboration across product and technology teams in an Agile environment. 🗂️ Requirements: Previous experience in IT project delivery or project management, Strong knowledge of Agile methodology, Strong knowledge of Scrum framework, Experience coordinating cross-functional technical teams, Ability to manage risks, dependencies, and blockers, Experience with sprint planning and resource allocation, Professional level of English 📃 Skills: Agile, Scrum, IT, Delivery, ProjectManagement, Integration, Platforms, DigitalProducts, StakeholderManagement, RiskManagement 🏢 Description: We are looking for an experienced Delivery Lead to support the successful delivery of digital products, platform implementations, and integration initiatives. This role combines hands-on delivery management with cross-functional coordination, stakeholder collaboration, and continuous process improvement. The ideal candidate is confident in managing delivery activities independently, working closely with product and technology teams, and ensuring consistent, high-quality execution across projects. Key Responsibilities Lead and coordinate project delivery activities in line with agreed timelines and objectives. Collaborate closely with Product Managers, project teams, analysts, and developers to ensure smooth execution of initiatives. Identify, manage, and mitigate dependencies, risks, and blockers impacting delivery. Support sprint planning, resource allocation, and effective utilization of team capabilities. Drive continuous improvements in delivery processes to increase predictability, efficiency, and quality. Ensure effective communication and alignment between technical and business stakeholders. Prepare project updates, status reports, and progress tracking for stakeholders at different organizational levels. Promote a culture of collaboration, accountability, and continuous improvement within delivery teams. Candidate Profile Previous experience in IT project delivery, project management, or a similar delivery-focused role. Strong understanding of Agile and Scrum methodologies. Experience coordinating cross-functional teams in a fast-paced environment. Excellent communication, organizational, and stakeholder management skills. Ability to prioritize effectively and manage multiple initiatives simultaneously. Proactive mindset with strong problem-solving capabilities. Professional level of English enabling smooth collaboration in an international environment. What We Offer Opportunity to work on large-scale digital and transformation initiatives. Hybrid working model with a centrally located office in Wrocław. Long-term B2B cooperation. Collaborative and international work environment. High level of ownership and impact on delivery processes and ways of working. Exposure to cross-functional teams and modern technology environments. Supportive culture focused on continuous improvement and professional growth. Flexible and dynamic environment with opportunities to influence delivery standards and best practices.

🏢 Summary: Hybrid Technical Solution Lead – Digital for Commercial role focused on translating business needs into technically viable, secure, and compliant solution designs within enterprise environments. The position bridges Commercial teams and IT, ensuring integration, data readiness, and alignment with architecture and governance standards. It enables delivery by validating feasibility, shaping solution design, and overseeing technical quality without direct development work. 🗂️ Requirements: Minimum 7 years of experience in Solution Architect, Technical Business Analyst, Technical Lead, or Technical Project Manager roles, Strong experience in system integration using APIs and ETL processes, Strong knowledge of data architecture principles, Experience with cloud platforms such as Azure or GCP, Ability to translate business requirements into structured technical specifications, Experience working in complex enterprise IT environments, Knowledge of cybersecurity and regulatory compliance (GDPR, GxP), Experience integrating CRM, ERP, and data platforms, Experience overseeing technical deliverables from external vendors 📃 Skills: APIs, ETL, Azure, GCP, CRM, ERP, GDPR, GxP, Architecture, Integration, Data, AI, Security 🏢 Description: Współpraca Hybrydowa, Warszawa Zatrudnienie w oparciu o Umowę o Pracę Role Purpose The Technical Solution Lead – Digital for Commercial serves as the key interface between Commercial teams (Sales and Marketing) and IT/Digital functions such as Architecture, Security, and Data Governance. The role is focused on ensuring that business requirements are technically viable, compliant, and properly translated into implementable solutions. Rather than performing development work, this position enables delivery by shaping solution design, validating technical feasibility, and ensuring alignment with enterprise standards. It removes technical barriers for commercial initiatives, facilitates efficient data exchange between systems, and converts business needs into structured technical specifications ready for implementation by internal teams or external partners. Key Responsibilities Solution Design & Technical Advisory Translate business requirements from Commercial teams into clear, structured technical designs and implementation specifications Provide early-stage technical assessment of initiatives to confirm feasibility within existing enterprise architecture and technology landscape Advise on solution design options and identify reusable components to improve delivery speed and reduce duplication across Commercial initiatives Business & IT Alignment Act as a key technical liaison between Commercial functions and Digital/IT teams Support integration of commercial applications with core enterprise platforms (e.g. CRM, ERP, data platforms) while preserving application integrity and business logic Remove technical constraints that may limit business agility, while ensuring adherence to security and operational standards Architecture, Security & Compliance Collaborate closely with Enterprise Architecture, Security, and Data Governance teams to ensure alignment with corporate standards Contribute to technical documentation and security-by-design inputs required for governance and approval processes Promote standardized integration approaches and data models to reduce technical debt and improve long-term maintainability Data & AI Enablement Define and oversee data integration flows between systems, ensuring consistency, availability, and readiness for analytics use cases Support foundational data architecture required for AI and advanced analytics initiatives, ensuring scalability and standardization (in alignment with AI leadership roles) Vendor Technical Oversight Review and validate technical deliverables provided by external vendors and software partners Ensure compliance with architectural standards, security requirements, documentation practices, and integration guidelines Monitor technical quality of delivered solutions and ensure consistency with internal engineering standards Requirements Experience & Technical Expertise Minimum 7 years of experience in roles such as Solution Architect, Technical Business Analyst, Technical Lead, or Technical Project Manager Strong background in system integration (e.g. APIs, ETL processes) and data architecture principles Experience with cloud platforms such as Azure or GCP is highly desirable Ability to translate business objectives into clear and structured technical requirements Experience in complex IT environments involving multiple stakeholders and distributed ownership models Knowledge of cybersecurity and regulatory compliance in controlled environments (e.g. GDPR, GxP) is an advantage Collaboration & Communication Strong “bridge-building” capability between business and technical domains Ability to negotiate and align competing priorities between Commercial and IT stakeholders Skilled in explaining technical concepts in a clear and accessible way to non-technical audiences High proficiency in English and Polish Strong communication and stakeholder management skills across seniority levels

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions, translating business needs into technical scope, and ensuring successful production rollout. The role bridges business and technical teams, owning backlog, architecture alignment, and AI governance to deliver scalable, value-driven solutions. Hybrid work model with responsibility for agile squads and cross-functional coordination. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Strong backlog management and delivery flow expertise, Working knowledge of AI, ML, LLM, RAG solutions, Understanding of software architecture, APIs, integrations, Knowledge of AI governance, security, data privacy principles, Ability to translate business requirements into technical scope, Experience working in cross-functional enterprise teams, Fluent Business English, Experience with Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Security, DataPrivacy, Jira, Confluence, Agile 🏢 Description: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Senior technical role leading the design, optimization, and delivery of core business applications within a large IT transformation program. The position focuses on Java-based microservices, cloud and DevOps adoption, and collaboration with architecture and infrastructure teams. It combines hands-on development expertise with technical leadership across strategic platforms. 🗂️ Requirements: 6+ years of experience with Java microservices, Strong experience with JEE and Spring Boot, Experience in API and REST development, Proficiency in Kubernetes, Proficiency in Python, Experience with cloud migration projects, Hands-on experience with Oracle Database and WebLogic, Experience with messaging systems such as IBM MQ or WebSphere, Knowledge of IT security standards, Understanding of functional and technical architecture principles, Fluency in English 📃 Skills: Java, JEE, SpringBoot, REST, API, Microservices, Kubernetes, Python, Oracle, WebLogic, IBMMQ, WebSphere, DevOps, Agile, CloudMigration, Architecture, Security 🏢 Description: Key Responsibilities: Technical Leadership: Provides expert technical guidelines and support to IT analysts and development teams. Application Optimization: Identifies improvement and optimization opportunities for major core business applications. Strategic Delivery: Contributes to the delivery of high-priority projects within core business platforms. Infrastructure Collaboration: Partners with Architects, Security, and Infrastructure teams to design and evolve technical solutions. IT Transformation: Drives the adoption of DevOps, Agile methodologies, and AI readiness as part of broader group transformation programs. Technical Requirements: Java Expertise: Over 6 years of experience with Java microservices, JEE, Spring Boot, and API/REST development. Cloud & DevOps: Proficiency in Kubernetes and Python, with cloud migration expertise and DevOps knowledge listed as significant advantages. Data & Middleware: Experience with Oracle components (Database, WebLogic) and messaging flows such as IBM MQ or WebSphere. Standards & Architecture: Deep awareness of IT security standards, quality metrics, and functional/technical architecture principles. Professional Skills: Fluency in English with the ability to present complex technical topics to senior stakeholders.

🏢 Summary: Remote AI Lead Data Engineer role responsible for designing and delivering enterprise-grade AI data platforms while leading a team of engineers. The position focuses on building scalable Lakehouse architectures, advanced MLOps frameworks, and LLM orchestration pipelines. It bridges Data Science and Data Engineering to ensure robust, governed, and production-ready AI infrastructure. 🗂️ Requirements: 8–10 years of Data Engineering experience, Minimum 3 years in technical lead role, Expert-level Python, Expert-level SQL, Expert-level PySpark in distributed environments, Experience with SageMaker, Azure ML, or Vertex AI, Hands-on MLflow or Kubeflow for CI/CD, Experience with Monte Carlo or Datadog, Experience with Collibra or Alation, Implementation of Responsible AI guardrails, Knowledge of Medallion, Data Mesh, Lakehouse architectures, Experience with PII masking and data lineage, Knowledge of HIPAA and GDPR compliance 📃 Skills: Python, SQL, PySpark, SageMaker, AzureML, VertexAI, MLflow, Kubeflow, MonteCarlo, Datadog, Collibra, Alation, Lakehouse, Medallion, DataMesh, CI/CD, LLM, HIPAA, GDPR 🏢 Description: This is a remote position. The AI Lead Data Engineer acts as the technical lighthouse for our data squads. With 8–10 years of experience, you are responsible for the technical design and delivery of robust AI data platforms. You will bridge the gap between Data Science and Data Engineering, ensuring that our infrastructure supports advanced MLOps and LLM requirements while leading a team of engineers to maintain elite coding and governance standards. Key Responsibilities: Technical Leadership: Lead a squad of data engineers in the design and execution of end-to-end AI data architectures. AI Observability & Governance: Build frameworks for bias detection, ethical AI considerations, and auditability using platforms like Collibra or Alation. Infrastructure Design: Lead the transition to Data Lakehouse architectures and implement feature stores for enterprise-wide model reuse. Delivery Management: Work with stakeholders to manage project milestones, technical risks, and on-time delivery. Advanced MLOps: Implement enterprise-grade CI/CD for ML workflows using MLflow or Kubeflow. GenAI Orchestration: Design specialized pipelines for LLM evaluation frameworks and prompt-tuning datasets. Requirements 8–10 years of experience with at least 3 years in a lead role managing technical delivery. Expert-level Python, SQL, and PySpark optimization for distributed environments. Deep experience with AI platform services such as Amazon SageMaker, Azure ML, or Vertex AI. Hands-on experience implementing enterprise observability with Monte Carlo or Datadog. Experience with data governance platforms (Collibra/Alation) and implementing Responsible AI guardrails. Deep understanding of modern data patterns (Medallion architecture, Data Mesh, Lakehouse). Advanced knowledge of security frameworks, including PII masking, data lineage, and HIPAA/GDPR compliance. Exceptional ability to mentor junior engineers and communicate complex data strategies to business stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: Leadership role responsible for guiding AI Engineers and driving AI technology direction, with strong involvement in hands-on project delivery, R&D, and presales activities. The position focuses on developing and implementing AI solutions, especially in the LLM or ML domain, while ensuring high architectural and quality standards. It combines technical leadership with active participation in client discovery and solution design. 🗂️ Requirements: Proven experience in LLM or ML domain, Hands-on experience with large language models, Knowledge of prompt engineering, RAG, fine-tuning, embeddings, vector databases, Experience with LangChain or Semantic Kernel or HuggingFace, Experience with Azure OpenAI or Azure AI Foundry or Azure Machine Learning or similar platforms, Practical knowledge of scikit-learn or TensorFlow or PyTorch, Experience with ML lifecycle management tools, Proficiency in Python, Experience leading technical teams 📃 Skills: Python, LLM, RAG, Embeddings, LangChain, SemanticKernel, HuggingFace, AzureOpenAI, AzureAIFoundry, AzureML, scikit-learn, TensorFlow, PyTorch, MLflow 🏢 Description: Twoja rola: Jako AI Lead będziesz liderem zespołu AI Engineerów. To stanowisko łączy elementy technologicznego przywództwa, wsparcia w procesie sprzedaży, pracy z klientami oraz rozwoju kompetencji wewnątrz zespołu AI. Będziesz odpowiedzialny/a za: Rozwój zespołu Mentoring i wsparcie w rozwoju kompetencji technicznych i miękkich członków zespołu. Inspirowanie do innowacji, eksperymentowania i poszukiwania nowych rozwiązań. Identyfikowanie obszarów wymagających wzmocnienia kompetencji oraz planowanie ich uzupełnienia. Technologiczne przywództwo Wyznaczanie kierunku rozwoju technologii AI w Onex Group zgodnie z najnowszymi trendami i strategią firmy. Dbanie o jakość, architekturę i dobre praktyki w projektach. Przede wszystkim udział w projektach i realizacji zadań projektowych Tworzenie koncepcji, prototypów i PoC w ramach działań R&D. Wsparcie w procesie sprzedaży Prowadzenie procesów discovery i warsztatów z klientami Udział w procesach presales i przygotowywanie koncepcji rozwiązań. Tworzenie technicznego wkładu do ofert i wsparcie przy wycenach. Czego oczekujemy? Doświadczenie i wiedza techniczna Od kandydata oczekujemy znajomości oraz posiadanie kompetencji w jednym z wymienionych obszarów technologicznych (preferowany obszar LLM): Znajomość oraz doświadczenie w obszarze dużych modeli językowych (LLM): Znajomość koncepcji: prompt engineering, RAG, fine-tuning, embeddings, bazy wektorowe. Doświadczenie z narzędziami: LangChain lub Semantic Kernel, HuggingFace. Azure OpenAI, Azure AI Foundry, Azure Machine Learning lub podobne Znajomość oraz doświadczenie obszarze uczenia maszynowego (ML): Frameworki i ekosystem ML: praktyczna znajomość scikit-learn, TensorFlow lub PyTorch oraz narzędzi do zarządzania cyklem życia modeli, takich jak MLflow Znajomość języków programowania: Python, Umiejętności przywódcze / miękkie Doświadczenie w prowadzeniu zespołu. Przywództwo oparte na mentoringu, dobrej komunikacji i motywowaniu. Umiejętność w zakresie biegłości operacyjnej w projektach, zarządzania priorytetami i rozwiązywania konfliktów. Umiejętności biznesowe (mile widziane) Doświadczenie w pracy z klientem i tłumaczeniu zagadnień technicznych na język biznesowy. Prowadzenie discovery u klientów i umiejętność inspirowania ich możliwościami AI. Współpraca ze sprzedażą oraz przygotowywanie wraz z nią ofert i estymacji. Co oferujemy? Swobodę w działaniu oraz decyzyjność Kulturę organizacyjną opartą na odpowiedzialności, zaufaniu i realizacji założonych celów Elastyczne godziny pracy, możliwość częściowej pracy zdalnej Opiekę medyczną, Kartę Multisport, Ubezpieczenie na Życie, naukę języka angielskiego Integracyjne wyjazdy i eventy – świetna atmosfera to podstawa!

🏢 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.