Senior Data Officer, AVP

Foundation for the National Institutes of Health (FNIH)•North Bethesda, MD

10d•$190,000 - $240,000•Hybrid

About The Position

The Foundation for the National Institute of Health (FNIH) is seeking a Senior Data Officer (SDO), an executive role responsible for helping to establish and lead the organization’s data strategy, governance, and infrastructure to ensure that data is a trusted, secure, and high-value asset across all programs and partnerships. The SDO will oversee scalable data systems that enable high-quality data integration, access, and reuse across a diverse portfolio of scientific partnerships and research initiatives. This includes assisting in the oversight of Data COUNTS, the organization’s role in serving as the trusted broker for NIH’s federated electronic health record (EHR) data platform. Working closely with scientific, technology, and partnership leaders, the SDO will ensure that data across the organization is standardized/harmonized, governed, secure, and accessible—enabling downstream use in research, clinical development, regulatory engagement, and public–private collaborations. This position will report to the Senior Vice President of Translational Science within the Science Partnerships department (or their designated report) and is based at the FNIH offices located in North Bethesda, MD.

Requirements

Advanced degree (PhD, MD, MS, or equivalent) in data science, computer science, information systems, or related field
15+ years of experience in data leadership roles, including enterprise data strategy, governance, and architecture
Demonstrated experience building and scaling large, complex data platforms or ecosystems
Deep expertise in data governance, data architecture, and regulatory compliance
Experience working with complex, multi-institutional or regulated data environments

Nice To Haves

Experience in biomedical research, healthcare, or life sciences
Familiarity with real-world data sources (EHR, claims, registries) and common data models (e.g., OMOP)
Experience enabling AI/ML at scale within an enterprise data environment
Experience in public–private partnerships or multi-stakeholder collaborations

Responsibilities

Help define and lead the organization’s enterprise data strategy aligned with mission, scientific priorities, and growth objectives
Position data as a strategic asset to support research, partnerships, and organizational decision-making
Establish long-term roadmaps for data infrastructure, interoperability, and scalability
Develop and implement enterprise-wide data governance frameworks, including data standards, quality, access, and lifecycle management
Ensure the FNIH owned data is in compliance with privacy, security, and regulatory requirements (e.g., HIPAA, GDPR, NIST 800-171 etc. where applicable)
Oversee design and implementation of modern data architecture, including cloud-based platforms, data lakes, and federated data systems as need for the FNIH research partnerships
Ensure harmonized integration of heterogeneous data types (clinical, genomic, imaging, digital, etc.) through common data models and standards for FNIH partnerships, implementing the same standards across partnerships when relevant
Establish infrastructure and governance to support responsible and scalable use of AI/ML across the organization
Partner with scientific and analytics leaders to ensure data is AI-ready, high-quality, and fit for advanced modeling
Ensure data systems and practices meet requirements for regulatory-grade data where applicable
Support audit readiness and data traceability for research and regulatory use cases
Enable secure, compliant, and efficient data sharing across public–private partnerships
Develop frameworks for multi-party data collaboration, including federated and privacy-preserving approaches
Build trust with external partners through strong data governance and transparency
Work with the project teams to establish clear policies for data ownership, sharing, and use across internal and external stakeholders
Provide executive oversight of real-world evidence and AI data initiatives lead by the FNIH
Partner with IT, security, legal, and scientific leadership to align data strategy across the organization and its partnerships
Drive a culture of data quality, accountability, and stewardship
Serve as the organization’s senior authority on data strategy and governance
Communicate data strategy and progress to executive leadership, board members, and external stakeholders
Represent the organization in external forums on data governance, interoperability, and infrastructure