product managementCustomer Data PlatformCDPdata analyticsAImachine learningreportingdashboardscloud data platformslakehouseBI toolsaudience managementidentity resolutionsegmentationmarketing technology
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
10+
Location
Bengaluru, India
Full job description
The Product team at Epsilon develops products connecting customers with brands using data, machine learning, and AI. We seek a Staff Product Manager to lead strategy and delivery of insights for the PeopleCloud Customer Data Platform (CDP). The role focuses on enabling data and audience owners to understand data health, quality, readiness, and usability. Responsibilities include defining the product vision and roadmap for CDP insights, developing metrics and dashboards for profile and audience health, monitoring data onboarding quality, collaborating with cross-functional teams, and incorporating AI-assisted experiences. The candidate must have 10+ years of product management experience with data or analytics products, strong analytical and communication skills, and experience working with global teams. Preferred experience includes Customer Data Platforms, cloud data platforms, lakehouse architectures, and BI tools.
What you'll do
Define product vision, strategy, and roadmap for CDP reporting and insights
Identify high-value decisions for data owners, audience owners, marketers, and operations teams
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Translate decisions into dashboards, metrics, alerts, diagnostic workflows, and AI-assisted experiences
Prioritize near-term customer value and contribute to long-term PeopleCloud insights architecture
Establish success measures for adoption, data-quality improvement, operational efficiency, and business impact
Define how customers and internal users assess profile and audience health and usability
Develop measurable definitions for profile completeness, coverage, freshness, matchability, reachability, duplication, and audience readiness
Own insight experience for monitoring data onboarding quality and readiness
Partner with data and platform teams to surface actionable quality indicators
Collaborate with central EPC Insights team for consistency in metrics, user experience, authorization, reporting, and AI capabilities
Define high-value natural-language questions and guided analytical experiences
Identify opportunities for conversational and agentic AI capabilities to simplify analysis
Ensure AI-generated explanations and recommendations are grounded in governed data and certified metrics
Convert strategy into well-defined problems, outcomes, requirements, and prioritized product increments
Work closely with engineering and data teams through discovery, architecture, delivery, and launch
Use prototypes and early releases to validate user value
Make trade-offs across customer value, data availability, usability, platform consistency, and implementation effort
Requirements
10+ years of Product Management experience with ownership of data, analytics, or reporting products/platforms
Strong analytical skills and comfort working with metrics, dashboards, usage data, and operational indicators
Excellent written and verbal communication skills
Ability to distill ambiguous, technically complex problems into clear narratives for executive and cross-functional audiences
Demonstrated ability to work across distributed, global teams
Hands-on experience with AI tools for PM workflows including research, synthesis, writing, and prototyping
Preferred: Experience with Customer Data Platforms, audience management, identity resolution, customer profiles, segmentation, or marketing technology
Preferred: Experience with cloud data platforms, lakehouse architectures, or modern embedded BI tools
Preferred: Experience building analytics, business intelligence, observability, data-quality, or operational insight products
Tech stack
AImachine learningdata analyticsdashboardsreportingcloud data platformslakehouse architecturesembedded BI toolsCustomer Data Platformsaudience managementidentity resolutioncustomer profilessegmentationmarketing technology
Benefits
Employee well-being focusCollaborative work environmentOpportunities for growth through learning, development, and career advancementInnovation-driven cultureWork-life balance and flexibilityDiversity and inclusion commitment
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