InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com About InMobi Group InMobi Group has been a pioneer in mobile-first, AI-powered technology for over 18 years, shaping the future of advertising and consumer experiences. With businesses spanning AdTech, Consumer Tech (Glance), and Data Platforms, we’re driving intelligent experiences at scale, powering over 500 million devices across markets like the US, Japan, India, and Brazil. As a profitable, high-growth organization on a clear IPO trajectory, InMobi operates at the intersection of startup speed and public-market scale—where data-driven decisions are critical to sustained success. Role Overview We are looking for a Lead, People Analytics to build and scale InMobi’s people data and analytics capability as a strategic decision engine for the People Team and business leaders. This role sits at the intersection of workforce economics, talent strategy, and data storytelling, enabling leaders to make informed decisions on hiring, attrition, cost, organization design, and capability investments. You will own people analytics end-to-end—from workforce cost modeling and dashboards to hypothesis-driven analysis and proactive insights—while working closely with PBPs, Rewards, Finance, People Systems, and leadership. Key Responsibilities Workforce Cost & Planning Analytics Own workforce cost analytics across current state, projections, and scenario modeling. Track and model in-year cost vs exit cost, factoring exits, backfills, hiring plans, and timing shifts. Build buffers and assumptions to ensure projected workforce costs stay close to actuals through the year. Partner closely with Finance and Rewards to support budgeting, AOPs, and leadership reviews. Dashboards, Reporting & Analytics Products Maintain and continuously improve existing People Analytics dashboards. Design and build new dashboards as requirements emerge across People teams. Primary tools: Power BI (strong DAX, data modeling, and performance optimization expected). Apply strong storyboarding, UX, and design principles to build user-centric, decision-ready dashboards. Ensure dashboards are intuitive, scalable, and aligned to leadership consumption needs. Advanced, Predictive & Proactive Analytics Build analytics capabilities that move the org from descriptive → diagnostic → predictive insights. Develop proactive views on: Attrition risk Hiring effectiveness Workforce mix and cost evolution Org design and capability gaps Partner with People Systems and HR Tech teams to embed insights into workflows where possible. Insights, Hypothesis Testing & Storytelling Act as a centralized analytics partner for the People Team on complex problem statements. Conduct org-level hypothesis-driven analyses and present clear insights with recommendations. Translate data into executive-ready narratives that enable action—not just observation. Support leadership decks, board-level discussions, and strategic reviews with data-backed insights. Stakeholder Communication & Analytics Enablement Own the communication strategy for People Analytics initiatives. Proactively inform stakeholders about new dashboards, changes, and enhancements. Conduct demos, training sessions, and office hours to drive adoption. Enable decentralization of simple analytics by upskilling People teams to speak the “metrics language.” Systems & Data Foundations Work with HRMS and ATS systems such as SuccessFactors, Workday, Greenhouse, SAP Recruitment, etc. Ensure data quality, consistency, and governance across systems feeding analytics. Partner with People Systems to improve data structures and future readiness. Automation, AI & Analytics-Led Efficiency Identify opportunities across People Analytics and People Operations to reduce manual effort through automation, self-serve analytics, and AI-enabled workflows. Partner closely with People Systems, Technology, and Product teams to design and implement automated or agentic solutions for recurring analytics, reporting, and insight-generation use cases. Help evolve People Analytics from static dashboards to intelligent, action-oriented systems that proactively surface insights and recommendations. Continuously evaluate emerging analytics, AI, and agentic capabilities to improve speed, scalability, and decision quality for the People Team. Qualifications & Experience 5+ years of overall experience within HR or adjacent enablement functions. 3+ years of hands-on experience in Analytics and reporting. Strong experience with workforce cost analytics and planning. Advanced proficiency in Power BI and DAX. Solid understanding of HR systems (HRMS, ATS) and people data structures. Experience building predictive or proactive analytics is strongly preferred. Strong communication, stakeholder management, and storytelling skills. Preferred experience working with automation, AI-driven analytics, or agentic workflo