Data Product Manager

About the role

The Data Product Manager (DPM) is responsible for guiding the development and lifecycle of data-centric products within Velera's Enterprise Data & AI Office. This role ensures data products align with business goals, delivers value to users, and are built on reliable, scalable infrastructure. The DPM collaborates with data scientists, engineers, and stakeholders to define requirements, prioritize features, and translate complex data capabilities into tangible business value. Key responsibilities include understanding business needs for data use cases, leveraging available data assets, and creating requirements for agile development teams. The DPM transforms raw information into strategic assets that drive decision-making and monetization. Additionally, the role establishes and executes the data product operating model, defines vision and strategy, implements product management processes, and produces roadmaps for high-quality, high-performing data products. The DPM also supports partner teams in consuming new data sources and coordinates across cross-functional teams to manage timelines and ensure data availability. A Day in the Life Engage stakeholders to identify business challenges and opportunities where data can deliver value. Define vision, strategy, and roadmaps for assigned data domains and products; implement product management processes. Translate business needs into clear requirements for new or enhanced data products including requirements for data quality and business definitions. Identify critical business elements in close collaboration with business teams that translate into critical data elements for data products. Maintain accurate metadata for new data sources to support discoverability and governance. Transform datasets into actionable products that provide a single source of truth and enable data-driven decisions. Collaborate with data science teams to enrich data products through advanced analytics. Create detailed artifacts (epics, features, data flow diagrams, ER diagrams) outlining product functionality. Establish quality and governance rules to ensure data integrity, consistency, accuracy, and compliance. Define and track KPIs to measure product success (e.g., SLA compliance, error rates, user engagement). Analyze and manipulate data using tools such as SQL, Excel, and visualization platforms. Drive adoption and ROI through commercialization efforts, including training and educational resources. Foster a culture of data literacy across the organization. Participate in testing, validation, and version control for data products. Perform other duties as assigned.