Director, Data Trust
About The Position
The Director of Data Trust leads strategic and operational data governance across the enterprise data warehouse, business intelligence ecosystem, and analytical products. Reporting to the AVP of Data Science within the Data & Analytics organization, the Director oversees the Data Trust Office and develops governance capabilities that support clinical, research, operational, and enterprise reporting needs, as well as emerging AI-enabled solutions. The role establishes and advances CHOP's data governance strategy, frameworks, policies, and standards to strengthen data quality, transparency, security, compliance, and ethical use. It partners with clinical, operational, and technical leaders to improve stewardship and data quality in upstream source systems, supporting reliable downstream reporting, analytics, predictive modeling, and AI. As CHOP expands its use of advanced analytics and AI, the Director builds and scales the governance foundation needed for trustworthy insights and future enterprise data governance maturity.
Requirements
- Bachelor's degree in data science, informatics, computer science, biostatistics, healthcare, business administration, or a related field.
- At least 10 years of experience in healthcare, life sciences, or biomedical environments.
- At least 5 years leading or managing enterprise data governance or data management initiatives.
- At least 2 years of experience maturing data governance capabilities in complex, regulated organizations.
- At least 2 years of experience 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.
- Experience with business intelligence and analytics platforms such as Power BI, Tableau, Qlik, or Business Objects.
- Familiarity with data requirements for AI, machine learning, and predictive analytics.
- Experience with data catalogs, lineage, and governance tooling.
- Knowledge of modern data platforms, cloud environments, and DataOps practices.
- Proven ability to lead complex initiatives through influence and collaboration.
- Excellent communication, facilitation, and data storytelling skills.
- Ability to operate effectively in ambiguity and adapt to evolving priorities.
Nice To Haves
- Master's degree in a related discipline.
- Experience with Epic analytics tools such as Caboodle, Radar, SlicerDicer, or Reporting Workbench.
- Familiarity with Python, R, Snowflake, GitHub, CI/CD, and automation.
Responsibilities
- Define and execute a multi-year Data Trust and Data Governance roadmap aligned with organizational strategy, clinical and operational priorities, research needs, and AI initiatives.
- Integrate data governance into Data & Analytics, digital, and AI strategies, and promote scalable, outcome-driven, repeatable governance standards.
- Ensure governance standards are applied throughout the data asset lifecycle, from acquisition and integration through validation, use, maintenance, and archival.
- Scale and mature the Data Quality Center of Excellence, including data profiling, monitoring, root-cause analysis, issue prioritization, and remediation.
- Establish enterprise standards and metrics for data quality, metadata, lineage, and documentation; report progress and KPIs to executive stakeholders.
- Oversee adoption and optimization of the enterprise data catalog and metadata management processes.
- Align governance practices with privacy and security standards; mature data access controls and enforce data classification schemas.
- Embed responsible data use and ethical considerations into analytics and AI initiatives, partnering with enterprise AI governance efforts.
- Develop, publish, and maintain enterprise data governance policies, standards, and procedures.
- Establish and support data stewardship roles and accountability frameworks across clinical, research, and operational domains.
- Translate governance decisions into actionable standards, priorities, and execution plans; use automation and scalable workflows to improve efficiency and consistency.
- Lead the Data Trust council, stewardship forums, and working groups, ensuring alignment, accountability, and follow-through.
- Advise executive leaders and enterprise committees and councils by framing options, clarifying trade-offs, and assessing impacts.
- Partner with Clinical, Informatics, Research, Digital Technology Services, Analytics, Finance, HR, and Operations leaders to embed governance in day-to-day practices.
- Drive change management and communication to support adoption of standards, definitions, and governance processes.
- Build, lead, and develop a high-performing Data Trust Office team; provide coaching, clear expectations, and professional development.
- Manage operational responsibilities, including resource planning, prioritization, budgeting input, succession planning, and performance measurement.
- Foster collaboration, accountability, transparency, and customer focus.
- Monitor healthcare, analytics, and AI trends and adapt Data Trust capabilities to emerging data sources, technologies, and use cases.
- Partner with Data Literacy and Enablement programs to incorporate Data Trust concepts into enterprise training and education.
- Champion strategic programs such as Master Data Management to support enterprise data alignment, cross-system integration, and the data governance ecosystem.
Benefits
- Eligible for an incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Director
