Job Description:

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

Key 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

Foundational->Quality models/improvement frameworks->ISO 9001,Foundational->Quality models/improvement frameworks->Lean based improvement methodology