Director, Data Governance

By joining our team, you’ll be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions. You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.

Job Description Summary

The Director of Data Governance will lead the development and execution of a comprehensive data and AI governance strategy, data and AI programs, and leadership committees partnering with clinical, research, operations, marketing, finance, and administrative departments. This role ensures the integrity, security, accessibility, and quality of enterprise data assets across all organizational and data domains. The Director will collaborate with cross-functional leaders to align the data strategy with institutional goals, regulatory requirements, and innovation in patient care and rehabilitation sciences.

This role is central to transforming how clinical, operational, research, and patient data are managed and integrated with our next-generation healthcare data platform to enhance outcomes, improve care, and advance SRAlab’s global innovative leadership standing. Our data strategy is focused on an ecosystem that supports advanced analytics, AI/ML, and complex health initiatives that align with SRAlab’s mission to revolutionize rehabilitation. We are enabling enterprise-wide decision-making and delivering timely, high-quality, and accessible data.

Data Governance is critical to SRAlab’s mission by enabling transformative clinical care, operational efficiency, and innovative translational research with data and AI. The Director will embody SRAlab’s Mission and Philosophy through excellence, teamwork, and compassion, and demonstrate the Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service, and Core Values—Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence.

Job Description

Principal Responsibilities

Strategy & Leadership

• Develop and implement a data governance framework aligned with the enterprise data strategy, regulatory compliance, and health system priorities.

• Lead the Data Governance Councils and related working groups to drive policy, standards, and stewardship practices.

• Lead and/or participate in data related initiatives such as Inventory, Quality, Fluency, and Executive programs.

Data Stewardship & Quality

• Establish and oversee data stewardship programs to ensure accountability for data quality, metadata, lineage, master data management, and analytics.

• Define and monitor enterprise metrics, data strategy key performance indicators, data quality metrics and remediation processes across departments.

Compliance & Risk Management

• Ensure adherence to HIPAA, HITECH, and other healthcare data privacy and security regulations.

• Collaborate with compliance, legal, and IT security teams to manage data access, classification, and lifecycle policies.

Collaboration & Enablement

• Partner with clinical, research, and operational leaders to promote data literacy and responsible data use.

• Support self-service analytics and data democratization while maintaining governance controls.

Technology & Innovation

• Work with IT and data platform teams to embed governance into data architecture, including metadata management, interoperability (FHIR, HL7), and data cataloging tools.

• Evaluate and implement governance technologies and automation to scale governance practices.

Reporting Relationships

Reports to the Vice President, Data and Analytics.

Knowledge, Skills & Abilities Required

Education:

• Bachelor’s degree in Business, Health Informatics, Information Systems, Public Health, or a related field. Will consider relevant experience in lieu of education requirement.

Qualifications/Experience:

• 10+ years of experience in data management, data governance, data programs, data quality, or other data, analytics or AI related disciplines.

• 5+ years of leadership experience

• Proven leadership in developing and operationalizing data governance programs.

• Experience leading p