Data Governance Program Manager

University of Wisconsin-Madison

Data Governance Program Manager at SMPH leading biomedical research data governance strategies. Collaborating with investigators, custodians, and teams to advance data access, stewardship, and sharing.

Posted 7/22/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in biomedical data governance, including the development and implementation of data management plans, data quality assessments, and adherence to FAIR data principles. Proficient in managing diverse data types and ensuring compliance with institutional policies while promoting best practices in research data stewardship.

Highest-signal resume keywords

Biomedical Data GovernanceFAIR Data PrinciplesData Integration and LinkageData Quality AssessmentResearch Data Management

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Hard Skills

Data Stewardship FrameworksMetadata StandardsSynthetic Data GenerationData CurationData Quality AssessmentProgramming Languages (Python, R)Research Data RepositoriesData Sharing InfrastructuresData IntegrationEntity Resolution

Soft Skills

Problem-Solving SkillsAttention to DetailCommunication SkillsCollaboration Skills

Industry Keywords

Biomedical ResearchClinical ResearchResearch InformaticsTranslational ScienceMultimodal Data EnvironmentsElectronic Health RecordsData GovernanceData Management PlansResearch EcosystemsPrivacy Compliance

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead the development and implementation of a comprehensive biomedical research data governance program across SMPH, including best practices for research data stewardship and lifecycle management.
Partner with investigators to develop and implement data management and sharing plans for grant applications, ensuring alignment with funding agency requirements and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.
Facilitate the discoverability, documentation, and dissemination of research datasets, including support for assigning persistent identifiers (e.g., DOIs), developing metadata standards, and depositing datasets into institutional and national repositories.
Establish and oversee data quality, data curation, and data stewardship frameworks that promote the accuracy, consistency, completeness, and usability of research data assets.
Lead the design and implementation of data integration, linkage and secure release methodologies spanning structured, semi-structured, textual, imaging, and other heterogeneous biomedical data sources.
Develop processes, standards, and tools that improve interoperability and enable the secure integration of research, clinical, public health, and other data domains to support advanced research initiatives while protecting privacy of patients and participants in research studies.
Guide the development and use of de-identified, limited, and synthetic datasets that support research access while maintaining appropriate safeguards for PHI and compliance with institutional policies.
Develop and implement methodologies for creating research-ready data products that enable reproducible, secure, scalable, and efficient research workflows.
Conduct and oversee data quality assessments, validation activities, and data fitness-for-use evaluations to ensure that research datasets meet established governance and scientific standards.
Serve as a subject matter expert in biomedical data governance, advising investigators, departmental leaders, and research teams on data stewardship, data sharing, metadata standards, and responsible data use.
Develop and deliver training, educational resources, and consultation services that promote best practices in research data management and governance across SMPH.
Monitor emerging trends, technologies, and policies related to biomedical data governance, FAIR data practices, research data ecosystems, interoperability standards, and advanced data management methodologies.
Directly and indirectly supervise staff supporting research data operations, data stewardship programs, data curation activities, and institutional data governance initiatives across SMPH.

Requirements

What you’ll need

Demonstrable experience with at least three of the following competencies: Research data governance and stewardship frameworks
FAIR data principles and metadata standards
Data integration and entity resolution/data linkage
Research data repositories and data sharing infrastructures
Synthetic data generation and research-ready data products
Data quality assessment and data curation
Proven experience working on a large, grant-funded project that involves data exchange and sharing.
Familiarity with programming languages such as Python or R, or similar.
Familiarity with biomedical and clinical research data management, multimodal data environments including clinical, genomic, imaging, and unstructured data, and research informatics and translational science ecosystems.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience carrying out research using clinical science or data science with electronic health records.

Benefits

Comp & perks

generous vacation, holidays, and sick leave
competitive insurances and savings accounts
retirement benefits