Principal - Analytics

Job description

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 modern 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