Senior AI Governance Analyst
$90,000–$135,000 year
Remote
Job Summary
Conduct enterprise AI governance by shaping, assessing, and routing opportunities across business use cases, functional roadmaps, and platform requests. Maintain the enterprise AI portfolio and backlog view while coordinating risk-triggered governance activities with Legal, Privacy, Information Security, and other accountable subject matter experts. Prepare practical operating artifacts including intake records, decision logs, AI impact assessments, risk registers, and implementation readiness checklists. Build reusable assets such as service catalogs, assessment criteria, playbooks, templates, and training materials to support functional AI leaders and business stakeholders. Track AI-related issues, incidents, and lessons learned to synthesize patterns into improved guidance and processes. Prepare sponsor and executive reporting inputs including portfolio dashboards, roadmap updates, operational metrics, and RAID summaries. Continuously improve intake, opportunity assessment, prioritization, and governance routing processes as the program office matures.
Required Qualifications
- 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
Desired Qualifications
- 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
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