Senior AI Governance Analyst

Position Overview

The Senior AI Governance Analyst supports Adaptive's Enterprise AI Program Office as a senior, adaptable individual contributor in a fast-evolving enterprise AI function. Reporting to the Director, Enterprise AI Program Office, this role helps build and operate the practical mechanisms that make AI work visible, coordinated, governed, enabled, and connected to business outcomes.

This role is designed for a strong generalist operator who can work across business, technical, risk, compliance, and adoption conversations without becoming a bottleneck. The role is not expected to be the sole subject matter expert for AI policy, legal, privacy, security, quality, architecture, or engineering decisions; it is expected to identify the right accountable experts, coordinate the path forward, maintain clear records, and help make AI easier to use responsibly.

As the Enterprise AI Program Office matures, this role may flex across operating model design, governance and controls, platform/tool coordination, functional AI leader support, workforce enablement, portfolio visibility, decision support, communications, and special initiatives

Key Responsibilities and Essential Functions

• Support Enterprise AI Program Office work across assigned workstreams, business areas, functional stakeholder groups, governance backlog items, enablement activities, and special initiatives.
• Help shape, assess, and route AI opportunities by clarifying business value, user population, data sensitivity, workflow impact, autonomy level, vendor or tool status, regulated process exposure, technical dependencies, adoption needs, and support model.
• Maintain the enterprise AI portfolio and backlog view across business use cases, functional roadmaps, platform requests, AI tools, pilots, production candidates, adoption initiatives, and workforce enablement activities.
• Coordinate risk-triggered governance and control activities with Legal, Privacy, Information Security, QA/Compliance, Enterprise Architecture, SWE, IT, data owners, business owners, and other accountable subject matter experts when those reviews are needed.
• Prepare and maintain practical operating artifacts such as intake records, decision logs, AI impact assessments, review packets, action logs, risk registers, exception records, implementation readiness checklists, service-model documentation, and evidence records.
• Build and maintain reusable Enterprise AI Program Office assets, including service catalog content, intake guidance, assessment criteria, starter kits, tool-selection guidance, playbooks, templates, FAQs, office-hours materials, and training support materials.
• Support functional AI leaders and business stakeholders by gathering department needs, adoption barriers, tool feedback, success stories, recurring questions, and demand signals; synthesize patterns for program office and sponsor review.
• Coordinate readiness checkpoints with Forward Deployed Engineers, SWE, Enterprise Architecture, IT, data architecture, vendors, and platform partners so business requests have clear owners, dependencies, sequencing, and implementation paths.
• Track AI-related issues, incidents, near misses, policy exceptions, duplicated efforts, unclear ownership, blocked handoffs, adoption friction, and lessons learned; help convert recurring patterns into improved guidance and processes.
• Prepare sponsor and executive reporting inputs, including portfolio dashboards, roadmap updates, operational metrics, adoption signals, risks, open decisions, RAID summaries, and recommended next actions.
• Continuously improve AI intake, opportunity assessment, prioritization, governance routing, pilot launch, scaling, functional engagement, service request, and benefit-tracking processes as the program office matures.
• All other duties as assigned.

Position Requirements (Education, Experience, Other)

Required

• Bachelor's degree or equivalent combination of education and relevant work experience.
• 5+ years of experience in program management, product operations, business analysis, technology governance, transformation, change management, technology risk/compliance, data governance, enterprise technology enablement, or a related cross-functional operating role.
• Working knowledge of AI, generative AI, enterprise technology, software delivery, data, digital adoption, risk assessment, and control concepts sufficient to translate between business stakeholders, technical teams, and governance functions.
• Demonstrated ability to operate in ambiguous, fast-moving environments where standards, tools, and processes are still being built.
• Strong facilitation, stakeholder engagement, synthesis, and written communication skills, including the ability to create clear executive-ready materials from ambiguous inputs.
• Experience maintaining roadmaps, dashboards, action logs, decision logs, evidence records, operating cadences, templates, playbooks, or program reporting artifacts.
• Ability to independently manage multiple workstreams, requests, and stakeholders; follow up on dependencies; organize information cleanly; and escalate issues with sound judgment.
• Judgment to distinguish lightweight coordination from true risk-triggered review, identify when accountable subject matter experts are needed, and avoid turning every activity into a formal review gate.

Preferred

• Experience supporting an AI center of excellence, enterprise program office, product operations team, digital transformation program, governance function, adoption program, GRC process, or regulated technology portfolio.
• Experience in healthcare, biotech, diagnostics, regulated software, life sciences, or enterprise environments with privacy, security, quality, compliance, or data-governance expectations.
• Familiarity with responsible AI concepts, AI literacy programs, NIST AI RMF, ISO/IEC 42001, AI impact assessments, model or system cards, third-party risk management, or AI use case lifecycle management.
• Experience using Jira, Confluence, SharePoint, Smartsheet, PowerPoint, Excel, BI/reporting tools, ServiceNow, GRC tools, or similar collaboration and program-management platforms.

#LI-Remote

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Compensation

Salary Range: $90,000 - $135,000

Possible “other compensation” elements to include:

• equity grant
• bonus eligible