Data Product Manager

Product Leadership & Strategy Define and drive the Client 360 product vision, strategy, and multi-year roadmap Establish a scalable, enterprise-grade client data foundation Identify and prioritize high-value use cases (reporting, analytics, automation, AI/ML) Evangelize the Client 360 vision across business and leadership stakeholders Data Product Ownership Own end-to-end delivery of the Client 360 data product lifecycle: Unified client profiles Cross-domain data models (sales, finance, engagement etc) Client hierarchies, relationships, and segmentation Translate complex business needs into clear, actionable product and data requirements Define KPIs, success metrics, and product SLAs Cross-Functional Leadership Partner with senior stakeholders across: Sales, Account Management, Marketing, Finance, Operations Data Engineering, Architecture, Governance, and Analytics teams Act as a strategic bridge between business and technical organizations Influence decision-making at the leadership level Data Architecture & Engineering Collaboration Collaborate with engineering teams to design: Scalable data pipelines (ETL/ELT) Modern data architectures (lakehouse, warehouse) Real-time and batch processing capabilities Ensure alignment with enterprise data platforms (e.g., Azure, Snowflake, Databricks) Data Governance & Quality Drive data governance frameworks for client data: Standard definitions, taxonomies, and metadata Data lineage, stewardship, and ownership Ensure data quality, consistency, and compliance with privacy regulations Manage master data and identity resolution strategies Analytics & Insight Enablement Enable advanced capabilities such as: Client performance dashboards and executive reporting Revenue and profitability insights Segmentation, trend analysis, and forecasting Partner with teams on AI/ML-driven use cases (e.g., client growth, churn, opportunity identification) Execution & Delivery Lead Agile delivery (backlog prioritization, sprint planning, releases) Manage trade-offs across scope, timeline, and quality Track adoption, usage, and business impact; iterate continuously Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data, Engineering, Business, or related field 8+ years of experience in: Data Product Management / Product Management / Data & Analytics Proven experience delivering enterprise-scale data platforms or Client/Customer 360 solutions Strong understanding of: Data modeling, data warehousing, and distributed data systems ETL/ELT pipelines and integration patterns Hands‑on experience with: SQL and BI tools (Power BI, Tableau, Looker, etc.) Preferred Qualifications Experience with Client 360 / Customer 360 / MDM initiatives Familiarity with CRM systems (Salesforce, Dynamics 365, etc.) Experience with modern data platforms: Azure Data Platform, Snowflake, Databricks, Microsoft Fabric Knowledge of data governance, privacy, and compliance frameworks Agile/Scrum certification or strong Agile delivery experience Key Competencies Strategic thinking with strong execution focus Deep data and analytics expertise Exceptional stakeholder management and executive communication Ability to influence without authority Strong problem-solving and decision‑making skills Customer/client‑centric mindset #J-18808-Ljbffr