AI Enablement & Governance Analyst

EVERSANA India Pvt. Ltd; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EVERSANA India Pvt. Ltd. seeks an AI Adoption & Governance Analyst to operationalize AI standards across the Patient Services engineering organization and prove the SDLC transformation with measurable adoption and ROI.

The role bridges AI tooling rollout (Claude Code, GitHub Copilot, Cursor) with governance artifacts, data-flow risk reviews, and cross-team enablement to drive real adoption and HIPAAs SOC2-aligned compliance within the AI Hub COE.

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).
• Understanding of HIPAA, SOC 2, or comparable privacy/compliance fundamentals.
• Strong cross-team coordination and stakeholder-communication skills.

Responsibilities

• Adoption & Enablement: Roll out AI development tooling as engineering standards across Patient Services teams; train Dev, QA, and BA staff; own AI best-practice wiki and training materials.
• Governance & Compliance: Maintain prompt library governance, conduct compliance reviews, coordinate with InfoSec, maintain AI risk register.
• Metrics & Reporting: Define AI adoption KPIs, author monthly adoption reports and quarterly ROI dashboards; surface gaps and suggest interventions.

Skills

Data analysis

Dashboards

Technical writing

Change management

Stakeholder communication

Tools

Claude Code

GitHub Copilot

Cursor

Looker

Tableau

BigQuery

Confluence

Notion

JIRA

Job description

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. Qualifications

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 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.