Senior Director, Head of Data Stewardship & Data Engineering

Reads like a Data Leadership role: running a data team.

Cambridge, MA

Pay: $254,000–349,250/year · BaseAnnual period assumed — pay source
Job Level: Management Additional Information The base compensation range for this role is: $254,000.00-$349,250.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
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Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

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.

Own the enterprise data stewardship and AI-ready data engineering framework
Lead data engineering, SDTM and clinical data standards work, including submission-ready pipelines
Provide strategic leadership for clinical trial transparency and controlled data sharing
Build and lead a high-performing organization of about 24 professionals

From the employer’s posting

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.

Own the enterprise Data Stewardship and AI-ready data engineering framework

Lead modern data engineering practices, SDTM, clinical data standards, reusable clinical data products, automation, digital protocol initiatives, submission-ready pipelines

Provide strategic leadership for Clinical Trial Transparency, controlled data sharing, participant-centric data access

building a high-performing organization of approximately 24 professionals

What you’ll bring

All qualifications

Core experience

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.
80 hours of sick time per calendar year
401(k) program participation with company matched contributions
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.
Experience leading leaders and senior technical experts in complex matrixed organizations, with proven ability to influence strategy and drive enterprise change.

Qualification wording

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.

80 hours of sick time per calendar year

401(k) program participation with company matched contributions

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.

Experience leading leaders and senior technical experts in complex matrixed organizations, with proven ability to influence strategy and drive enterprise change.

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Posting record

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Status in our records: Live
First seen by us: Sep 17, 202648 days ago
Recorded sightings: 122
Last seen by us: Nov 4, 2026

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How this job compares

Pay

Higher than most similar jobs

$254K–$349K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 48

Similar jobs usually come down between day 7 and day 53.

From 7,854 similar postings that came down. Coming down is not always a hire.

Biibhr is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring has slowed
Takes jobs down at a usual pace
20% of open jobs were reposted

Hiring record

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Where the posting names them

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.

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.

- 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.

- 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.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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.

About the Role

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.

#LI-SM1

Job Level: Management

Additional Information

The base compensation range for this role is: $254,000.00-$349,250.00

Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.

Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

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Pay

Job Level: Management Additional Information The base compensation range for this role is: $254,000.00-$349,250.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

Location & working pattern