H-1B Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for H-1B visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, information systems, or a related field. Large tech, finance, and healthcare employers file LCAs with the DOL and run H-1B petitions through USCIS for this role annually.
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Get Access To All JobsINTRODUCTION
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
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.
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.
INTRODUCTION
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
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.
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.
See all 416+ H-1B Visa Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Engineering Manager Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Engineering Manager
Align your credentials to specialty occupation standards
USCIS evaluates whether your degree field directly relates to data engineering management. A computer science or information systems degree is the clearest fit. If your degree is adjacent, gather course transcripts showing data systems coursework before applying.
Target employers with active LCA filing history
Search Migrate Mate to filter employers who have filed Labor Condition Applications for data engineering and management roles. This confirms they have experience running H-1B petitions for this occupation, not just engineering individual contributor positions.
Verify prevailing wage tier before evaluating offers
Use the OFLC Wage Search to look up wage levels for your job title, SOC code, and metro area. Data Engineering Manager roles often fall at Level III or IV. An offer below the certified LCA wage will fail DOL review.
Confirm your role meets O*NET management criteria
Pull the O*NET profile for database administrators and data architects to check which tasks and knowledge areas USCIS expects. Data Engineering Manager petitions are stronger when the job description maps directly to O*NET's listed tasks for the occupation.
Plan around the cap and registration window
USCIS opens H-1B registration in March for the fiscal year starting October 1. If you're not already on a valid H-1B, your employer must register you in that window. Missing it means waiting another year unless you qualify for a cap-exempt employer.
Negotiate petition filing timeline into your offer
Ask your employer to confirm whether they'll file standard or premium processing before you accept. Standard processing can run several months; premium processing through USCIS gets a decision within 15 business days. This affects your start date and status transition planning.
H-1B Visa Data Engineering Manager: Frequently Asked Questions
Does a Data Engineering Manager role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Data Engineering Manager as a specialty occupation because the role typically requires at least a bachelor's degree in computer science, information systems, or a closely related field. The job description must show that a specific degree field is a standard requirement for the position, not just a preference.
Which employers sponsor H-1B visas for Data Engineering Manager positions?
Tech companies, financial institutions, healthcare systems, and large consulting firms are the most consistent H-1B sponsors for this role. Employers in industries with mature data infrastructure teams file LCAs for this occupation regularly. Use Migrate Mate to browse current openings filtered by employers with active H-1B filing history for data engineering management roles.
How does the prevailing wage requirement affect Data Engineering Manager H-1B petitions?
Your employer files an LCA with the DOL certifying your offered salary meets the prevailing wage for the role in your work location. Data Engineering Manager typically maps to a higher wage level given the management component. If the offered salary falls below the certified wage level, DOL will reject the LCA and the H-1B petition can't proceed.
Can I transfer my H-1B to a new Data Engineering Manager role at a different company?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new petition is filed, as long as you're in valid status and your prior petition was approved. The new employer must file a fresh I-129 and LCA for the Data Engineering Manager role. You don't need to wait for approval before starting.
Does managing a team affect how USCIS evaluates the specialty occupation standard?
It can work in your favor. Petitions for managerial roles are stronger when the job description demonstrates that the management duties are secondary to specialized technical oversight, not general administration. USCIS looks for evidence that the degree requirement flows from the technical nature of the work, not just the seniority of the title.