AI Enablement & Governance Analyst
The AI Adoption & Governance Analyst operationalizes AI standards across the Patient Services engineering organization and proves the SDLC transformation in metrics. This role is the connective tissue of the AI Hub COE: rolling out AI development tooling to Dev, QA, and BA teams; owning the governance artifacts that keep AI use safe and compliant; and reporting the adoption and ROI story to leadership. It is the right role for someone who blends analytical rigor with strong communication and change-management instincts — someone who can drive real adoption of new ways of working, not just publish a policy. Mission: Operationalize AI standards across BA, QA, and Dev — and prove the SDLC transformation in measurable adoption and ROI. Key Responsibilities: Adoption & Enablement Roll out AI development tooling — Claude Code, GitHub Copilot, Cursor — as engineering standards across the Patient Services teams. Train and onboard Dev, QA, and BA staff into AI-augmented ways of working; run office hours, certification, and internal forums. Own the AI best-practice wiki, training materials, and the agent registry. Governance & Compliance Own and maintain the prompt library governance process, including quality gates before templates are promoted. Conduct HIPAA/PHI compliance reviews of AI tool usage; coordinate with InfoSec on data-flow approval and risk sign-off. Maintain the approved-tools list and the AI risk register. Support model-selection and BAA-verification processes led by the AI Engineering & Enablement Lead. Metrics & Reporting Define and track AI adoption KPIs: AI velocity, code-generation percentage, defect-rate delta, time-to-merge, and story points per sprint. Author monthly team adoption reports and quarterly executive ROI dashboards for the CTO and CFO. Surface adoption gaps and recommend interventions to the AI Engineering & Enablement Lead. Required Qualifications: 3+ years in a technical analyst, program enablement, developer-experience, or similar role. Strong data analysis and dashboarding skills. Excellent technical writing and documentation ability. Demonstrated change-management and training-delivery experience. Working fluency with AI tooling ecosystems (Claude, Gemini, AI coding assistants) — able to teach and support their use. Understanding of HIPAA, SOC 2, or comparable privacy/compliance fundamentals. Strong cross-team coordination and stakeholder-communication skills. Preferred Qualifications Background in healthcare or...
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