Data Entry Jobs 2026 (Now Hiring) – Smart Auto Apply

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 for advanced analytics, automation, and responsible AI across clinical development.

This highly visible role will define the trusted, interoperable, AI-ready dataecosystem that enables digital transformation, machine learning enablement, regulatory excellence, responsible reuse, and better outcomes for patients.

About the Role

You will definethe 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.

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