Data and AI Governance Lead

Framingham, MAfull timeRemote

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senior

$129k–$241k

H1B: no

Definitivehc Data and AI Governance Lead at Definitive Healthcare responsible for building AI governance frameworks and enablement programs to drive safe and responsible AI adoption. The role partners with multiple teams to translate complex risks into practical policies and accelerate AI initiatives.

Responsibilities

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.

Qualification

Deep

Required

Bachelor's or Master’s degree in Computer Science, Information Management, or a closely related quantitative/technical discipline.
12+ years of experience in data and AI governance, data management, or enterprise data compliance. Must show a progressive track record of managing enterprise-scale governance programs.
Deep, practical knowledge governing data within Databricks environment, with hands-on experience utilizing Unity Catalog for lineage and access management.
Clear conceptual and functional understanding of LLMs, Generative AI, Agentic AI, vector search mechanisms, and secure Retrieval Augmented Generation (RAG) structures.
Deep familiarity with modern data privacy and AI regulations, with a proven ability to translate legal definitions into actionable, automated technical guardrails.