AI Enablement & Governance Analyst

EVERSANA; India; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Eversana is seeking an AI Adoption & Governance Analyst to operationalize standards across the Patient Services engineering group and demonstrate SDLC transformation through measurable adoption and ROI. You will roll out AI tooling, enable Dev/QA/BA teams, and own governance artifacts, including risk registers and prompt libraries, while reporting progress to CTO and CFO.

Strong collaboration, change management, and clear technical writing will help drive widespread adoption of new AI-enabled

Qualifications

• 3+ years in a technical analyst, program enablement, or developer-experience 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 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.

Skills

Data analysis & dashboards

Technical writing

Change management

AI tooling familiarity

Stakeholder communication

Tools

Claude

Gemini

GitHub Copilot

Looker

Tableau

BigQuery

JIRA

Confluence

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.

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.

OUR CULTURAL BELIEFS

• Patient Minded I act with the patient's 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 of others.
• Win Together I passionately connect with anyone, anywhere, anytime to achieve results.
• Communication Matters I speak up to create transparent, thoughtful and timely dialogue.
• Embrace Diversity I create an environment of awareness and respect.
• Always Innovate I am bold and creative in everything I do.