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

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

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