Director, Data Trust

Children's Hospital of Philadelphia

1d • $100,000 - $375,000

About The Position

The Director of Data Trust provides strategic and operational leadership for data governance across the enterprise data warehouse, business intelligence ecosystem, and analytical products. Reporting to the AVP of Data Science, this role oversees the Data Trust Office and advances governance capabilities that support clinical, research, operational, and enterprise reporting needs, as well as emerging AI-enabled solutions.

The Director establishes and executes CHOP’s data governance strategy, developing frameworks, policies, and standards that strengthen data quality, transparency, security, compliance, and ethical use. The role partners with clinical, operational, and technical leaders to improve data quality and stewardship in upstream source systems and ensure downstream reliability for 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.
• 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, ensuring governance efforts are sequenced, scalable, and outcome-driven.
• Ensure governance standards are applied throughout the data asset lifecycle, from acquisition and integration through validation, use, maintenance, and archival.
• Provide thought leadership on governance practices that balance innovation, risk management, and regulatory compliance; promote repeatable enterprise standards.
• Scale and mature the Data Quality Center of Excellence, including data profiling, monitoring, root-cause analysis, prioritization, and remediation.
• Establish enterprise standards for data quality, metadata, lineage, and documentation; define data quality metrics and KPIs and report progress to executive stakeholders.
• Oversee adoption and optimization of the enterprise data catalog and metadata management processes.
• Align governance practices with enterprise and regulatory privacy and security standards; refine data access controls and enforce data classification schemas.
• Embed responsible data use and ethical considerations into analytics and AI initiatives, and partner with enterprise AI governance efforts on data readiness, documentation, and guardrails.
• 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 plans.
• Use automation and scalable workflows to improve governance efficiency and consistency.
• Lead Data Trust councils, 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 into day-to-day practices.
• Drive change management and communications 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 opportunities.
• Manage operational responsibilities including resource planning, prioritization, budgeting input, succession planning, and performance measurement.
• 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

• The job is eligible for an incentive program.
• Annual influenza vaccination is required as a condition of employment for employees who work in patient care buildings or have patient-facing responsibilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Director