CareerPlan

Enterprise AI Standards Program Lead

Marlborough US-MA, United States …Full-time2026-11-04 → 2026-11-10
HybridNo visa sponsorship

Core

Lead the development, implementation, and continuous improvement of enterprise AI governance standards, procedures, and guidance to enable responsible AI adoption while aligning with security, privacy, and regulatory requirements.

Role type

Senior IC AI Governance Program Lead

Builds

Enterprise AI governance standards, playbooks, documentation, and exception management processes

Domain

Healthcare + AI Governance & Risk Management

Required skills

AI governance program management, technical writing, cross-functional stakeholder influence, standards lifecycle management, third-party vendor onboarding, regulatory compliance alignment, risk documentation, governance metrics reporting, process simplification

Preferred skills

Generative AI technology understanding, experience with Microsoft Copilot/Azure AI Foundry/Amazon Bedrock/Snowflake Cortex

Technologies

Microsoft Copilot, Azure AI Foundry, Amazon Bedrock, Snowflake Cortex

Responsibilities

Lead the enterprise AI standards program lifecycle (intake, development, review, approval, publication, assessment, exception management, retirement); Establish and maintain a prioritized library of AI governance standards, procedures, templates, FAQs, and approved-use guidance; Maintain a centralized, searchable repository of AI governance documentation; Develop and maintain governance playbooks for external vendors and implementation partners; Coordinate third-party AI onboarding reviews with business sponsors and stakeholders; Develop and communicate practical governance guidance for enterprise AI tools and platforms; Partner with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, and Responsible AI teams to align standards with enterprise policies; Identify gaps and inconsistencies in governance documentation and coordinate resolutions; Manage the AI governance exception lifecycle; Establish governance performance metrics and reporting; Present governance program performance and emerging risks to senior leadership; Drive awareness and adoption of AI governance standards through training and communications; Facilitate cross-functional discussions and influence governance decisions; Identify opportunities to simplify governance processes and strengthen enterprise AI governance maturity.

Seniority

Senior, hands-on IC