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.

• 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.

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

Education: Bachelor of Engineering

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