Principal - Analytics

Responsibilities :

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 modern AI tools and platforms (e.g., GenAI ecosystems, ML platforms, enterprise AI studios) and drives their adoption within analytics workflows.

Additional Responsibilities:

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

Technical and Professional Requirements:

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