Data and AI Governance Lead

About Definitive Healthcare

At Definitive Healthcare (NASDAQ: DH), we're passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people-paving the way for smarter decisions and greater impact.

Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011.

We're also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In's 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like Definitive Cares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

We are seeking highly accomplished and strategic Data and AI Governance Lead to serve as the definitive authority for our enterprise data assets and artificial intelligence initiatives. In this high-impact role, you will define, implement, and oversee the corporate governance architecture that ensures our data ecosystems and advanced AI systems are secure, compliant, ethical, and high-performing.

You will act as primary bridge coordinating across legal, privacy, compliance, security, and IT enterprise teams, translating complex corporate risks into clear, operational policies. This role is not about creating barriers; it is about building the rigorous framework required to safely drive enterprise AI adoption and enablement across the entire organization.

• Direct the design, execution, and continuous operations of a centralized corporate AI Trust Center.
• Formulate and enforce organizational strategies for Responsible AI, establishing standards to systematically measure and mitigate algorithmic bias, hallucination, and intellectual property leakage.
• Build a formalized use case evaluation framework to assess, tier, and approve all inbound predictive and generative AI initiatives based on business value, technical readiness, and ethical risk profile.
• Establish comprehensive oversight procedures mapping the entire AI/ML lifecycle, spanning raw data extraction, model training, fine-tuning, automated testing, deployment, and ongoing production inference.
• Define and enforce holistic data governance strategies, operating policies, procedures, standards, and best practices to maintain corporate data integrity.
• Architect and deploy an enterprise-wide data classification framework to safely categorize internal, external and regulated information tiers.
• Oversee the automation of comprehensive data cataloging systems and end-to‑end lineage mapping, ensuring full traceability from raw source systems to user-facing dashboards.
• Design and deploy modern frameworks for data quality, data monitoring, and observability to catch data anomalies or pipeline drift before they impact production downstream.
• Govern data access controls and compliance policies across all enterprise data platforms, and Enterprise Data Warehouses (EDW).
• Serve as the functional governance owner for Databricks, leveraging Unity Catalog to enforce centralized access management, and auditable data shares.
• Set data and model consumption guardrails for foundational LLMs, and multi‑agent Agentic AI systems.
• Ensure strict adherence to global risk and compliance frameworks and evolving AI legislation (e.g., EU AI Act, NIST AI Risk Management Framework).
• Function as an internal…