gdit
Data Linkage Manager
At a Glance
- Location
- United States of America
- Employment
- Full time
- Experience
- 7+ years
- Compensation
- ry range for this position is $162,037 - $219,227. This is not, however, a guar
- Posted
- 2026-02-04
Key Requirements
Required Skills
Certifications
- ITIL
- PMP
Domain Knowledge
- Clinical
- Engineering
Benefits & Perks
Our benefits package for all US-based employees includes a v
Requirements
Clinical Research, Data Management, Data Privacy, Informatics, Record Linkage
Doctor’s degree in a relevant field such as biomedical sciences, bioinformatics, health services research, economics, epidemiology, biostatistics, or health informatics.
Minimum of seven (7) years leading large, multi-year federal research, data management, or informatics programs, including major administrative data linkages.
At least seven (7) years of experience in risk management, quality assurance, and data security.
Proven success leading tasks for federal agencies, including at least five (5) years as a task lead on efforts of comparable size and complexity.
Broad technical background across networks, hardware, software, and cloud services.
Compensation & Benefits
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at
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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Responsibilities
GDIT is seeking an experienced Data Linkage Manager to lead data linkage activities within secure, cloud-hosted environments.
This role is central to enabling compliant, scalable linkage operations that support federally funded studies and users.
HOW A DATA LINKAGE MANAGER WILL MAKE AN IMPACT:
Own the opportunity to support partners in delivering privacy-preserving, high-quality linked datasets that accelerate health, and health services research.
Enable researchers to access and analyze data securely, efficiently, and in full compliance with DUAs, FISMA requirements, and applicable federal agency policies.
Lead planning and execution for data linkage, including deterministic, probabilistic, and privacy-preserving methods on longitudinal datasets.
About the Company
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