Data Linkage Privacy - Program Manager

Job Description

GDIT is seeking an experienced Data Linkage Privacy – Program Manager to lead planning, coordination, and delivery of privacy‑preserving linkage across multiple data sources. This position is accountable for execution, staffing, and customer satisfaction. This role ensures linkage services are robust, scalable, and aligned with federal privacy, security, and performance expectations.

Own the opportunity to plan, implement, and operate automation services that make privacy‑preserving record linkage more scalable, efficient, and repeatable. Ensure that PPRL–A capabilities help researchers use linked sensitive data while protecting privacy and meeting applicable data use, security, and governance requirements.

• Direct implementation and execution for PPRL–A, including environmental scanning, methodology, and workflow design, testing and validation.
• Direct day–to–day automation operations, coordinating development sprints, managing production runs, handling issues, and ensuring delivery of automated workflows.
• Coordinate with data linkage, enclave, and program operations to integrate PPRL–A solutions with pipelines, enclaves, and user–facing processes.
• Translate privacy, security, and governance requirements into automation designs, SOPs, and controls, including identifiers, tokens, encryption, de–identification, and audit trails.
• Own dashboards and metrics for automation coverage, match quality, runtime and scalability, exception and rework rates, and user satisfaction.
• Drive continuous improvement using data–driven process changes and AI–enabled techniques where appropriate.
• Manage relationships with staff, stakeholders, partners, and research teams that depend on automated linkage services, clear communication, and timely issue resolution.
• Lead, support, and develop PPRL–A technical and operations staff, including subcontractors, staffing plans, and onboarding.
• Plan and execute PPRL–A–related transition activities, including orderly transfer of environments, automation code, configurations, documentation, and tools.

• Master's degree in a relevant field such as health services research, health informatics, biomedical sciences, bioinformatics, biostatistics, or a related discipline.
• 7+ years of experience managing federal research, health, or data integration efforts, including record linkage, POI, PPRL, or data automation.
• Demonstrable experience and knowledge of artificial intelligence and machine learning methods.
• Demonstrated success leading multi‑disciplinary technical teams to deliver automation capabilities on time and in scope.
• Strong understanding of project/program management practices, including planning, risk management, and stakeholder management.
• Industry certifications such as PMI PMP, Agile, ITIL, CISSP, CISM, SANS GSNA, or other credentials.
• Experience in environments with federal privacy, security, and governance requirements, with familiarity in applying DUAs, review board decisions, and policy constraints.
• Proven ability to design, implement, and refine workflows and supporting processes to improve quality for data linkage pipelines.
• Excellent English written and verbal communication skills, including status reports, dashboards, briefings, and technical/operational documentation.
• Ability to obtain and maintain a Public Trust or higher and authorization to work in the US.

• Doctorate degree in a related field.
• 11+ years of experience managing complex federal research, health data, or program operations initiatives with multiple stakeholders and work streams.
• Experience leading PPRL, POI, tokenization/ encryption‑based matching, or other privacy‑preserving analytics programs.
• Technical certifications in areas such as professional cloud, information security, or data engineering that support managing complex federal data programs.
• Familiarity with record linkage and PPRL concepts, large‑scale real‑world data (e.g., claims, EHR, registries), and governance workflows in federal research environments.

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