Director of Data Trust

Position Summary

The Director of Data Trust will lead enterprise data governance for a nationally ranked pediatric academic medical center, providing strategic and operational leadership across the enterprise data warehouse, business intelligence (BI) ecosystem, and analytics products. Reporting to the AVP of Data Science within the Data & Analytics organization, this leader oversees the Data Trust Office and ensures data is reliable, secure, well understood, and responsibly used.

The Director will partner closely with clinical, operational, research, and technical leaders to improve data quality and stewardship at the upstream source systems that feed the data warehouse, ensuring downstream reliability for reporting, analytics, predictive modeling, and AI.

This is a build role

the incoming leader will shape the function and scale the governance foundation the organization needs as it expands its use of AI.

Primary Responsibilities

• Define and execute a multi-year Data Trust and Data Governance roadmap aligned to clinical, operational, research, and AI priorities.
• Integrate data governance into broader Data & Analytics, digital, and AI strategies, with standards applied across the full data lifecycle.
• Scale and mature the Data Quality Center of Excellence, including profiling, monitoring, root-cause analysis, prioritization, and remediation.
• Establish enterprise standards for data quality, metadata, lineage, and documentation; define data quality KPIs and report progress to executives.
• Oversee adoption and optimization of the enterprise data catalog and metadata management processes.
• Mature data access controls and enforce data classification schemas aligned with privacy, security, and regulatory standards.
• Embed responsible data use into analytics and AI, partnering with enterprise AI governance on data readiness, documentation, and guardrails.
• Develop, publish, and maintain data governance policies, standards, and procedures; establish data stewardship roles across clinical, research, and operational domains.
• Lead the Data Trust Council, stewardship forums, and working groups; serve as a trusted advisor to executive leaders and enterprise committees.
• Drive change management and communication to support adoption of new standards, definitions, and governance processes.
• Build, lead, and develop a high-performing Data Trust Office team, including resource planning, prioritization, and budgeting input.
• Champion strategic programs such as Master Data Management (MDM) and partner with Data Literacy programs on enterprise training.

Required Qualifications

• Bachelor's degree in data science, informatics, computer science, biostatistics, healthcare, business administration, or a related field.
• 10+ years of experience in healthcare, life sciences, or biomedical environments.
• 5+ years leading or managing enterprise data governance or data management initiatives.
• 2+ years maturing data governance capabilities in complex, regulated organizations.
• 2+ years supporting advanced analytics and AI use cases in healthcare.
• Strong knowledge of data governance, data quality, metadata management, and master data management practices.
• Understanding of healthcare data privacy, security, and regulatory requirements (HIPAA).
• Experience with data catalogs, lineage, and governance tooling.
• Experience with BI and analytics platforms such as Power BI, Tableau, Qlik, or Business Objects.
• Knowledge of modern data platforms, cloud environments, and DataOps practices.
• Familiarity with data requirements for AI, machine learning, and predictive analytics.
• Proven ability to lead complex initiatives through influence and collaboration, with excellent communication, facilitation, and data storytelling skills.
• Ability to operate effectively in ambiguity and adapt to evolving priorities.

Preferred Qualifications

• Master's degree in a related discipline.
• Experience with Epic analytics tools (Caboodle, Radar, SlicerDicer, Reporting Workbench).
• Familiarity with Python, R, Snowflake, GitHub, CI/CD, and automation.
• Experience with Alation or Collibra.
• Pediatric, academic medical center, or research data experience.

Technical Skills

• Data governance, data quality, metadata, and MDM
• Data catalog and lineage tools (Alation, Collibra)
• Power BI, Tableau, Qlik
• Snowflake and cloud data platforms
• Epic analytics (Caboodle, Radar, SlicerDicer)
• HIPAA and healthcare data privacy
• Responsible AI and data readiness for AI