01Key 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.
QualificationsRequired 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 life-sciences technology.Experience supporting or governing an AI or developer-tooling rollout at scale.Familiarity with JIRA, Confluence, and BI tools (Looker, Tableau, or BigQuery).
Tools & Stack
AI (evaluation & support): Claude, Gemini Enterprise, Einstein.Dev tools supported: Claude Code, GitHub Copilot, Cursor.Dashboards & data: Looker / Tableau, BigQuery.Documentation: Confluence, Notion, JIRA.
First-Year Success Measures
AI development tooling adopted across Patient Services engineering, with measurable AI velocity gains tracked and reported.Governance framework operational: approved-tools list, prompt-library process, risk register, and compliance-review workflow all live.Monthly adoption reporting and quarterly executive ROI dashboards established and delivered.
Additional InformationOUR CULTURAL BELIEFS:
Patient Minded I act with the patients best interest in mind.
Client Delight I own every client experience and its impact on results.
Take Action I am empowered and empower others to act now.
Grow Talent I own my development and invest in the development .
