About Definitive Healthcare:

At Definitive Healthcare, our mission is simple: to connect with the real people who make healthcare happen. With real data on real people, our customers get the Definitive picture of the Healthcare market to move their businesses and organizations forward.

We’re committed to delivering the industry’s most reliable, actionable, and differentiated insights and empowering the innovators and organizations transforming healthcare. Because when our customers succeed, healthcare improves—for everyone.

Since our founding in 2011, we’ve grown into a global company headquartered just outside Boston, Massachusetts, supporting more than 2,100 customers around the world. Along the way, we’ve built a culture centered on purposeful work, collaboration, curiosity, and meaningful impact.

We’re passionate about the work we do and the people we do it with. Through programs like Definitive Cares and our employee-led affinity groups, we create opportunities for our teams to connect and give back to the communities where we live and work.

About the position

We’re looking for an AI Governance & Enablement Lead to drive safe, responsible, and widespread AI adoption across Definitive Healthcare. You will build the governance framework that gives teams clear guardrails, and the enablement programs that turn AI into measurable business value. You’ll partner with legal, privacy, compliance, security, IT, data, and business teams to turn complex risk into practical policy.

This role isn’t about creating barriers. It’s about making the safe way the easy way, so every teammate can use AI effectively and every AI initiative can move from idea to production quickly and responsibly. Strong governance and confident, well-trained teams are what let us move fast on AI without putting customer trust at risk.

What You’ll Do

AI adoption and enablement

Own the enterprise AI enablement strategy and roadmap. Set adoption goals and success metrics, such as active users, time saved, use cases delivered, and business impact, 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 to share best practices, surface needs, and scale adoption peer to peer.
Maintain an approved AI tool and model catalog, along with reusable playbooks, prompt libraries, templates, and reference architectures.
Create sandboxes and fast-track routes so teams can safely experiment, pilot, and scale AI solutions.
Lead change management and communications that build trust, address concerns, and sustain adoption.

AI governance and Responsible AI

Direct the design, launch, and ongoing operation of a centralized AI Trust Center that serves as the single source of truth for AI policies, approved tools, and guidance.
Build a streamlined intake and evaluation framework to assess, tier, and approve predictive, generative, and agentic AI initiatives based on business value, technical readiness, and risk, with clear 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 full AI/ML lifecycle, including data sourcing, model training and fine-tuning, testing and evaluation, deployment, and production monitoring.
Set usage guardrails for foundation models, third-party AI tools, and multi-agent Agentic AI 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, such as the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001. Turn legal requirements into automated, scalable technical controls.
Lead an AI governance council and maintain an AI inventory and risk register to keep the company audit-ready.