
AI Enablement – Governance Analyst
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in India.
• Implement AI development tools — Claude Code, GitHub Copilot, Cursor — as engineering standards throughout the Patient Services teams
• Provide training and onboarding for Dev, QA, and BA personnel in AI-enhanced work methodologies
• Conduct office hours, certification sessions, and internal forums
• Manage the AI best-practice wiki, training resources, and agent registry
• Oversee and maintain the governance process for the prompt library, including quality checks prior to template promotion
• Perform HIPAA/PHI compliance assessments regarding AI tool utilization
• Collaborate with InfoSec on data-flow approvals and risk sign-off
• Update and maintain the approved-tools list and AI risk register
• Assist in model-selection and BAA-verification processes led by the AI Engineering & Enablement Lead
• Define and monitor AI adoption KPIs, such as AI velocity, code-generation percentage, defect-rate delta, time-to-merge, and story points per sprint
• Create monthly team adoption reports and quarterly executive ROI dashboards for the CTO and CFO
• Identify adoption gaps and suggest interventions to the AI Engineering & Enablement Lead
• Establish quantifiable AI velocity improvements, a live governance framework, monthly adoption reports, and quarterly executive ROI dashboards
• Minimum of 3 years in a technical analyst, program enablement, developer-experience, or related role
• Proficient in data analysis and dashboard creation
• Exceptional technical writing and documentation skills
• Proven experience in change management and training delivery
• Working knowledge of AI tool ecosystems (Claude, Gemini, AI coding assistants) — capable of teaching and supporting their application
• Familiarity with HIPAA, SOC 2, or similar privacy/compliance principles
• Strong skills in cross-team coordination and stakeholder communication
• Experience in healthcare or life-sciences technology (preferred)
• Background in supporting or governing a large-scale AI or developer-tool rollout (preferred)
• Knowledge of JIRA, Confluence, and BI tools (Looker, Tableau, or BigQuery) (preferred)
• Recognized as a Great Place to Work worldwide
• Equal Opportunity Employer
• Inclusive culture that values diversity, equity, and inclusion
• Commitment to employee development and investment in the growth of others
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