Skills

- Enterprise Analytics
- AI / GenAI / Copilot
- Predictive &
- Prescriptive Analytics
- Benchmarking &
- KPI Governance
- Productivity &
- Quality Measurement
- Performance Management
- Data Science &
- Statistics
- Power BI / BI Platforms
- Executive Reporting and Leadership Dashboards
- Execution &
- Impact
- Builds and scales advanced analytical engines (predictive, prescriptive, simulation-based) to support transformation initiatives across service lines.
- Owns enterprise performance management—setting Q&P; goals, publishing executive insights, and driving continuous improvement.
- Establishes risk analytics frameworks to proactively identify, predict, and mitigate delivery and operational risks.
- Adoption &
- Change Management
- Drives institutionalization of analytics through platforms, automation, and enterprise-wide adoption programs.
- Designs and leads change management initiatives to embed a data- and AI-driven culture across stakeholders.
- External Thought Leadership &
- Benchmarking




- Represents the organization in industry forums; builds IP, POVs, and whitepapers on analytics and AI-led transformation.
- Defines and executes benchmarking strategies leveraging internal data, competitive intelligence, and industry datasets.
- Enhances stakeholder experience using advanced analytics on CSAT, ESAT, IPSAT, and behavioral data.
- AI &
- Emerging Capabilities
- Demonstrates working knowledge of designing and deploying simple AI agents/use cases (e.g., using MS copilot for generating automated actionable insights).
- Has exposure to contemporary AI tools and platforms (e.g., GenAI ecosystems, ML platforms, enterprise AI studios) and drives their adoption within analytics workflows.

Experience
- 10–15 years Qualifications
- M.Sc. in Statistics from a reputed institution, or
- Engineering degree with relevant analytics and AI experience Preferred Locations
- Bangalore
- Pune
- Chennai
- Hyderabad
- Mysore

📌 Principal - Analytics (Bengaluru)
🏢 Infosys
📍 Bengaluru