Senior AI Governance Analyst
Adaptive Biotechnologies
| Company | Adaptive Biotechnologies |
| Category | Data & Analytics |
| Location | Remote (WFH) |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jul 2026 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
At Adaptive, we’re Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated.
As an Adapter, you’ll have the opportunity to make a difference in people’s lives. With Adaptive, you’ll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application.
It’s time for your next chapter. Discover your story with Adaptive. 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