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Spot Your Leaders seeks a Senior Manager and Head of People Analytics to transform data into strategic workforce insights in Bengaluru. You will design the analytics ecosystem, lead AI-enabled decision-making, and collaborate with CHRO, HR, IT, Finance, and business leaders to drive growth and profitability.
You will establish governance, drive automation, and foster a culture of curiosity and impact while guiding a high-performing analytics team to deliver measurable business outcomes.
Senior Manager and Head - People Analytics
The company seeks to transform People Analytics from a reporting function into a strategic
workforce intelligence capability. This role will own the design and evolution of people data
ecosystem, analytics strategy, AI-enabled decision, and workforce insights agenda.
The role will partner closely with CHRO, HR Leadership Team, HR Tech, CIO, Finance,
Talent Acquisition, Learning, and Business Leaders to create a unified people intelligence
platform that enables faster, smarter workforce decisions.
Key Responsibilities
1. Build the Future State People Analytics Function
retention, deployment, and profitability.
2. Create a Unified People Data Foundation
scalable analytics architecture.
3. Lead AI and Advanced Analytics Adoption
Deployment intelligence, Leadership effectiveness analytics, Learning ROI analytics
4. Deliver Strategic Business Insights
Move beyond answering: "What happened?" to To answering: "Why did it happen?" And:
"What should we do next?" Examples: Drivers of regretted attrition, Critical skill shortages,
Talent acquisition funnel optimization
5. Act as an Internal Workforce Consulting Partner
6. Build Capability Within the Team
Ideal Candidate Profile
Must Have
Strategy, Consulting, Data Products or a related field.
Preferred: Experience in one or more of People Analytics, Workforce Planning,
Management Consulting, Data Strategy, Analytics Product Management, Enterprise Data &
AI Transformation
Technical Expectations: Understanding of: SQL/Python, Power BI / Tableau, AI / LLM
applications, Workforce Analytics methodologies
Important: This is not expected to be a hands-on coding role, but the individual must be
capable of architecting solutions and engaging effectively with technical teams.