About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Enablement & Governance Analyst based in India.
Responsibilities
- Roll out AI development tools such as Claude Code, GitHub Copilot, and Cursor as standardized solutions across engineering teams.
- Train and onboard development, QA, and business analysis teams on AI-augmented workflows through workshops, office hours, certification programs, and internal knowledge-sharing forums.
- Own and maintain AI best-practice documentation, training materials, knowledge resources, and the internal agent registry.
- Manage the governance process for AI prompt libraries, including quality gates and review requirements before templates are approved for broader use.
- Conduct privacy and compliance reviews of AI tool usage, including HIPAA and PHI considerations, and coordinate with information security teams on data-flow approvals and risk sign-offs.
- Maintain approved AI-tool inventories and risk registers while supporting model-selection and business-associate-agreement verification processes.
- Define and monitor AI adoption and productivity KPIs, including AI velocity, code-generation rates, defect-rate changes, time-to-merge, and sprint productivity.
- Prepare monthly adoption reports and quarterly executive dashboards that communicate AI performance, adoption trends, productivity improvements, and ROI.
- Identify adoption gaps, analyze performance trends, and recommend targeted interventions to improve AI enablement across teams.
- Partner with technical, security, compliance, and business stakeholders to ensure AI adoption is practical, measurable, responsible, and aligned with organizational priorities.
Requirements
- 3+ years of experience in a technical analyst, program enablement, developer experience, technology operations, or similar role.
- Strong data analysis, KPI development, dashboarding, and reporting capabilities.
- Excellent technical writing, documentation, and knowledge-management skills.
- Demonstrated experience delivering training, onboarding programs, change-management initiatives, or technology adoption programs.
- Working knowledge of AI tooling ecosystems, including Claude, Gemini, and AI-powered coding assistants, with the ability to guide and support users.
- Understanding of HIPAA, SOC 2, or comparable privacy, security, and compliance principles.
- Strong stakeholder-management and cross-functional coordination skills, with the ability to communicate technical concepts clearly to different audiences.
- Analytical and structured approach to identifying adoption challenges, measuring outcomes, and translating data into actionable recommendations.
- Ability to work independently while collaborating effectively with engineering, QA, business analysis, security, compliance, and leadership teams.
- Experience working in healthcare or life-sciences technology is preferred.
- Experience supporting or governing AI or developer-tooling rollouts at scale is a plus.
- Familiarity with JIRA, Confluence, Notion, and business intelligence tools such as Looker, Tableau, or BigQuery is advantageous.
- Familiarity with AI and development platforms such as Claude Code, GitHub Copilot, Cursor, Gemini Enterprise, or Einstein is beneficial.
Conditions
- Opportunity to contribute to responsible AI adoption and technology transformation within the healthcare and life-sciences sector.
- A role with significant visibility across engineering, technology, compliance, and executive leadership.
- Opportunities to develop expertise in AI governance, enablement, analytics, and organizational change management.
- Collaborative environment focused on innovation, continuous learning, and cross-functional teamwork.
- Inclusive workplace that values diverse backgrounds, perspectives, and experiences.
- Opportunities for professional development and growth while working on initiatives with meaningful patient and client impact.
- Culture emphasizing action, innovation, communication, talent development, and shared success.
- Competitive compensation and benefits package.