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
