AI Governance & Enablement Lead

Definitive Healthcare, US • Framingham, MA

20h • $129,000 - $241,000

About The Position

Definitive Healthcare is seeking an AI Governance & Enablement Lead to drive safe, responsible, and broad AI adoption across the company. The role develops governance frameworks and enablement programs that provide clear safeguards while helping teams turn AI into measurable business value. It partners with legal, privacy, compliance, security, IT, data, and business teams to translate complex risks and requirements into practical policies and controls.

The Lead owns enterprise AI enablement strategy and governance operations, including an AI Trust Center, an AI initiative intake and evaluation process, responsible AI standards, lifecycle governance, and an AI inventory and risk register. The role also supports governed data foundations for AI, including serving as the functional governance owner for Databricks and Unity Catalog. Success means confident adoption of approved AI tools, timely decisions on new use cases, audit readiness, and governed data supporting AI from development through production.

Requirements

• 10+ years of experience in AI governance, data governance, risk and compliance, or technology enablement, with a progressive track record leading enterprise-scale programs.
• Bachelor’s or Master’s degree in Computer Science, Information Management, or a closely related quantitative or technical discipline, or equivalent experience.
• Proven success driving adoption of new technology across a large organization, including training, change management, and outcome measurement.
• Clear conceptual and functional understanding of LLMs, Generative AI, Agentic AI, vector search, and secure RAG architectures.
• Deep familiarity with modern data privacy and AI regulations and risk frameworks, and ability to turn legal and policy requirements into practical, automated guardrails.
• Hands-on experience governing data in Databricks, including Unity Catalog for lineage and access management.
• Exceptional communication, influence, and stakeholder management skills, with the ability to partner credibly with executives, legal, security, and technical teams.

Nice To Haves

• Experience building governance bodies, intake processes, and operating models that balance speed with control.

Responsibilities

• Own the enterprise AI enablement strategy and roadmap; set adoption goals and success metrics, and report progress to senior leadership.
• Partner with business leaders to identify high-value AI use cases and remove barriers to adoption.
• Design and deliver role-based AI literacy, training, and certification programs for employees, managers, and engineering teams.
• Build and lead an AI Champions network across departments.
• Maintain an approved AI tool and model catalog, reusable playbooks, prompt libraries, templates, and reference architectures.
• Create sandboxes and fast-track routes for safe AI experimentation, piloting, and scaling.
• Lead change management and communications to build trust and sustain adoption.
• Design, launch, and operate a centralized AI Trust Center for AI policies, approved tools, and guidance.
• Build an intake and evaluation framework to assess, tier, and approve predictive, generative, and agentic AI initiatives based on value, readiness, and risk, with defined turnaround times.
• Define and enforce Responsible AI standards to measure and reduce algorithmic bias, hallucination, security threats, and intellectual property leakage.
• Establish governance across the AI/ML lifecycle, from data sourcing and model training through testing, deployment, and production monitoring.
• Set usage guardrails for foundation models, third-party AI tools, and multi-agent systems, including human-in-the-loop requirements.
• Set AI vendor and third-party risk assessment standards with security, procurement, and legal.
• Ensure adherence to global AI regulations and risk frameworks, including the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001; translate legal requirements into scalable technical controls.
• Lead an AI governance council and maintain an AI inventory and risk register to support audit readiness.
• Partner with data and engineering teams to ensure AI uses governed, high-quality, well-classified data, with standards for classification, cataloging, lineage, quality, and observability.
• Serve as the functional governance owner for Databricks, using Unity Catalog for centralized access management, lineage, and auditable data sharing.
• Govern data access and compliance policies for data used in model training, vector search, and Retrieval Augmented Generation solutions.

Benefits

• Medical, dental, and vision coverage.
• Flexible paid time off.
• 401(k) plan with employer contribution.
• Company bonus or commission plan may be available depending on the position.
• Comprehensive healthcare benefits.
• 401(k) match.
• Definitive Cares employee-driven program, including affinity groups and opportunities to contribute to communities.

What This Job Offers

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