Data Product Manager

Matrix is a global technology services and consulting company specializing in advanced technologies, software solutions, and digital products. The company is seeking a Data Product Manager to own the strategy, prioritization, and lifecycle of data products for CPG and retail clients, while translating business needs into scalable solutions and driving adoption. The role partners with stakeholders and delivery teams on requirements, agile delivery, governance, data quality, and client use cases.

Responsibilities:

• Define and own the vision, roadmap, and lifecycle of data products (data marts, feature stores, reporting layers, ML outputs, and self-service analytics)
• Translate business objectives into clear product requirements, user stories, and acceptance criteria
• Prioritize backlog based on business impact, feasibility, and timelines
• Establish and monitor KPIs (data quality, adoption, business outcomes, SLA adherence)
• Promote a product-led mindset focused on measurable outcomes
• Partner directly with senior stakeholders across commercial, supply chain, finance, and operations
• Lead discovery sessions, workshops, and use-case prioritization
• Ensure alignment across business, delivery, and technical teams
• Act as the escalation point for scope decisions and trade-offs
• Communicate product updates clearly to both technical and non-technical audiences
• Align product roadmap with delivery plans alongside engineering and delivery leadership
• Define user stories, functional specifications, and data contracts
• Actively participate in agile ceremonies as the voice of the business
• Lead UAT and data validation to ensure quality and acceptance
• Manage scope changes and requirements evolution in a structured way
• Identify high-value use cases across commercial analytics, demand planning, trade promotion, category management, and supply chain visibility
• Guide clients on the shift from raw data to governed data products
• Support adoption through data literacy and change management initiatives
• Contribute to pre-sales with use case frameworks and ROI-driven narratives
• Define standards for ownership, lineage, SLAs, access, and documentation
• Ensure scalability, governance, and monitoring of data products
• Support data stewardship models and self-service policies
• Embed data quality controls across the product lifecycle

Requirements:

• 5+ years in product management, business analysis, or data consulting (2+ years in data/analytics products)
• Experience defining data pipelines, BI/analytics, or ML-driven solutions in client-facing environments
• Strong knowledge of modern data stacks (data warehousing, modeling, APIs, reporting layers)
• Proven ability to drive alignment across business and technical stakeholders
• Experience in agile environments with backlog ownership
• CPG or retail domain experience
• Strong communication skills with the ability to produce executive-level materials
• Bachelor's degree in a relevant field
• Hands-on experience with Snowflake, Databricks, or BigQuery; basic SQL skills
• Familiarity with BI tools (Tableau, Power BI, Looker, ThoughtSpot)
• Knowledge of data governance and metadata management tools
• Exposure to ML product workflows and lifecycle management
• Experience