Principal - Analytics

• Holds a master’s degree in Statistics, Mathematics, or Engineering from a reputed institution. • Brings in experience in data handling for business analytics, machine learning, statistics, or enterprise analytics roles. • Proficiency of AI platforms and tools (at least one) and hands on experience of leveraging AI in current scope of work. • Strong communication and collaboration skills with a capability to continuously learn. Technical 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 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. Preferred Skills: Foundational->Quality models/improvement frameworks->ISO 9001,Foundational->Quality models/improvement frameworks->Lean based improvement methodology