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

• 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

• 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

• 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)

• 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

• 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)

• Lead Agile delivery (backlog prioritization, sprint planning, releases)
• Manage trade-offs across scope, timeline, and quality
• Track adoption, usage, and business impact; iterate continuously

• 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.)

• 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

• 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