Sr Director, Head of Data Stewardship & Data Engineering
Biogen
Summary
Biogen is seeking an exceptional senior technical leader to serve as Senior Director, Head of Data Stewardship & AI-Ready Data Engineering, leading a newly expanded organization spanning Data Stewardship, Data Engineering, Data Standards, SDTM, Clinical Trial Transparency, controlled data sharing, imaging data stewardship, and reusable data capabilities. This leader will bring deep machine learning fluency, modern cloud data architecture experience, and hands-on understanding of Snowflake and Cortex AI-enabled capabilities to build the data foundation required for advanced analytics, automation, and responsible AI across clinical development. This highly visible role will define the trusted, interoperable, AI-ready data ecosystem that enables digital transformation, machine learning enablement, regulatory excellence, responsible reuse, and better outcomes for patients.
Job description
About the Role
You will define the strategy, architecture, governance, operating model, and decision rights for Biogen’s clinical and operational data ecosystem, integrating stewardship, standards, SDTM, data engineering, transparency operations, imaging, reusable data products, and AI-ready platform capabilities into one accountable organization. The role partners across Development, QSDO, R&D IT, Legal, Privacy, Regulatory, Clinical Data Management, Biostatistics, Medical Writing, Biomarkers, Medical, and external collaborators to ensure data are governed, reusable, compliant, technically scalable, and ready to power machine learning, AI-assisted workflows, and advanced evidence generation.
Key Responsibilities
- Own the enterprise Data Stewardship and AI-ready data engineering framework, including metadata, lineage, data quality, access, FAIR-aligned practices, reusable data products, and adoption of Snowflake/Cortex AI-enabled capabilities.
- Lead modern data engineering practices, SDTM, clinical data standards, reusable clinical data products, automation, digital protocol initiatives, submission-ready pipelines, and AI/ML-ready architecture across clinical and operational data assets.
- Provide strategic leadership for Clinical Trial Transparency, controlled data sharing, participant-centric data access, consent/privacy alignment, and global regulatory expectations.
- Define strategic roadmaps, technical architecture priorities, governance models, investment areas, and decision rights while building a high-performing organization of approximately 24 professionals across stewardship, standards, SDTM, CTT, imaging, data engineering, and AI/ML enablement.
Who You Are
You are a visionary leader with a passion for data stewardship and engineering. Your comprehensive understanding of clinical trial data, transparency, and governance makes you an expert in the field. You possess a strategic mindset and can influence enterprise-wide change. With a collaborative spirit, you build strong partnerships across departments and ensure alignment with regulatory expectations. You are driven by the opportunity to innovate and advance digital capabilities within clinical development.
Qualifications
- Advanced degree in Life Sciences, Data Science, Statistics, Computer Science, Informatics, Clinical Data Management, or related discipline preferred.
- 15+ years of relevant experience across clinical development, data engineering, data science, machine learning enablement, data stewardship, data management, statistical programming, standards, analytics, or related life sciences technology functions.
- Deep expertise in clinical trial data, SDTM, metadata, data governance, Snowflake or comparable cloud data platforms, AI/ML data enablement, lineage, quality, transparency, data sharing, and regulatory submission practices.
- Strong technical fluency in machine learning concepts, AI-assisted data workflows, semantic data layers, feature-ready data assets, and emerging capabilities such as Snowflake / Cortex AI to support scalable analytics and responsible AI adoption.
- Experience leading leaders and senior technical experts in complex matrixed organizations, with proven ability to influence strategy and drive enterprise change.
- Preferred experience with modern data architecture, cloud data platforms, automation, AI/advanced analytics enablement, governance frameworks, operating models, GxP, 21 CFR Part 11, informed consent, privacy, and auditability.
Requirements
- Advanced degree in Life Sciences, Data Science, Statistics, Computer Science, Informatics, Clinical Data Management, or related discipline preferred.
- 15+ years of relevant experience across clinical development, data engineering, data science, machine learning enablement, data stewardship, data management, statistical programming, standards, analytics, or related life sciences technology functions.
- Deep expertise in clinical trial data, SDTM, metadata, data governance, Snowflake or comparable cloud data platforms, AI/ML data enablement, lineage, quality, transparency, data sharing, and regulatory submission practices.
- Strong technical fluency in machine learning concepts, AI-assisted data workflows, semantic data layers, feature-ready data assets, and emerging capabilities such as Snowflake / Cortex AI to support scalable analytics and responsible AI adoption.
- Experience leading leaders and senior technical experts in complex matrixed organizations, with proven ability to influence strategy and drive enterprise change.
- Preferred experience with modern data architecture, cloud data platforms, automation, AI/advanced analytics enablement, governance frameworks, operating models, GxP, 21 CFR Part 11, informed consent, privacy, and auditability.
Benefits
- Medical, Dental & Vision
- Life Insurance
- Fitness & Wellness Programs
- Short-Term Disability
- Long-Term Disability
- Paid Vacation
- Paid Holidays
- Sick Time
- Paid Maternity Leave
- Paid Parental Leave
- 401(k) Matching
- Employee Stock Purchase Plan
- Tuition Reimbursement
- Employee Resource Groups
Company overview
Founded in 1978, Biogen is a leading global biotechnology company headquartered in Cambridge, Massachusetts, specializing in the development and commercialization of innovative therapies for serious neurological and neurodegenerative diseases. As one of the oldest independent biotechnology companies in the United States, Biogen has established itself as a pioneer in neuroscience, focusing on difficult-to-treat conditions where few or no treatment options exist. The company's portfolio includes groundbreaking treatments for multiple sclerosis, spinal muscular atrophy, Alzheimer's disease, ALS, and Friedreich's ataxia. With approximately 7,000 employees worldwide, Biogen operates through a global network that includes research and development hubs in Cambridge, Research Triangle Park in North Carolina, and South San Francisco, along with world-class manufacturing facilities in the United States and Switzerland. The company's commitment to scientific innovation is demonstrated by its Nobel Prize-winning founders and its receipt of the U.S. National Medal of Technology and Innovation. Biogen's patient-centric approach drives its mission to deliver transformative medicines that improve lives while creating sustainable value for shareholders and communities.