Principal - Analytics

Principal - Analytics

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 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 • 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.