Principal - Analytics

Infosys; Bengaluru; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Infosys seeks an experienced analytics leader to architect and scale advanced analytics engines for transformation initiatives across service lines. You will define enterprise performance management, publish executive insights, and drive continuous improvement.

The role emphasizes risk analytics, adoption programs, and embedding a data- and AI-driven culture among stakeholders across multiple locations in India.

Qualifications

• Experience 10-15 years in analytics/AI roles.
• M.Sc. in Statistics or Engineering with analytics/AI experience required.
• Exposure to risk analytics and performance management is preferred.

Responsibilities

• Establishes risk analytics frameworks to proactively identify, predict, and mitigate delivery and operational risks.
• 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.
• 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.
• Demonstrates knowledge of designing and deploying AI agents/use cases (e.g., GenAI copilots) in analytics workflows.
• Drives adoption of modern AI tools and platforms within analytics workflows.

Skills

Enterprise Analytics

AI / GenAI / Copilot

Predictive analytics

Prescriptive analytics

Benchmarking

KPI Governance

Executive dashboards

Data Science & Statistics

Power BI / BI Platforms

Leadership & Reporting

Education

M.Sc. in Statistics

Engineering degree with analytics/AI

Tools

MS Copilot

GenAI platforms

ML platforms

Job description

Educational Requirements

Bachelor of Engineering

Service Line

Quality

Responsibilities

Execution & ImpactBuilds and scales advanced analytical engines (predictive, prescriptive, simulation-based) to support transformation initiatives across service lines.Owns enterprise performance managementsetting 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 ManagementDrives 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 & BenchmarkingRepresents 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 CapabilitiesDemonstrates 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

Additional Responsibilities:

Experience 10-15 yearsQualificationsM.Sc. in Statistics from a reputed institution, orEngineering degree with relevant analytics and AI experience

Preferred LocationsBangalorePuneChennaiHyderabadMysore

Technical and Professional Requirements:

Skills Enterprise AnalyticsAI / GenAI / CopilotPredictive & Prescriptive AnalyticsBenchmarking & KPI GovernanceProductivity & Quality MeasurementPerformance ManagementData Science & StatisticsPower BI / BI PlatformsExecutive Reporting and Leadership Dashboards

Preferred Skills:

Foundational->Quality models/improvement frameworks->ISO 9001

Foundational->Quality models/improvement frameworks->Lean based improvement methodology