Data Product Manager

Company introduction We are a leading energy company committed to delivering innovative solutions and fostering a collaborative work environment. Role summary / purpose The Data Product Manager is responsible for leading the lifecycle of data-centric products, with a strong emphasis on 0-to-1 product ideation, prototyping, and execution—translating ambiguous opportunities into validated, scalable data products aligned with user needs and business value within the Data Office. Key responsibilities • Define data product strategy and vision aligned with organizational and Data Office goals • Develop a product roadmap that evolves with changing user needs, including phased 0-to-1 to scaled delivery planning • Identify enterprise data opportunities and user needs through research, analysis, and emerging technology assessment • Lead 0-to-1 product ideation cycles, transforming undefined problem spaces into structured product concepts with clear business cases • Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements • Conduct user interviews and surveys to gather insights and validate product concepts • Develop mockups, wireframes, and low-fidelity prototypes to rapidly test and validate hypotheses prior to full development • Conduct usability testing on prototypes and iterate based on stakeholder and end-user feedback • Engage in competitive analysis to identify differentiation opportunities • Utilize data-driven techniques to uncover emerging trends and inform discovery • Architect and deliver functional 0-to-1 prototypes, including AI-enabled capabilities, to demonstrate product value and de-risk full-scale investment • Lead the design and development of AI agents within prototype environments, defining agent objectives, tool integrations, orchestration logic, and evaluation criteria • Collaborate with data scientists and engineers to incorporate generative AI, ML models, or LLM-based components into prototypes as needed to meet product goals • Establish prototype success criteria and manage the transition from prototype to production-ready product • Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights and validated prototypes into product features • Oversee the use of data migration development tools to support data movement, transformation, and pipeline development within the product lifecycle • Prioritize features and functionalities based on business impact and technical feasibility • Engage with stakeholders across the organization to gather requirements and communicate product status • Advocate for product within the company and ensure alignment with business objectives • Provide training and support for users and stakeholders to maximize product adoption • Utilize data analysis tools to derive insights and inform product decisions • Ensure the accuracy and quality of data within products • Define and monitor KPIs to assess product performance and return on investment • Manage budget for product development and ensure optimal resource allocation • Prepare reports and presentations to communicate results and insights • Create product collateral including product charters, prototype summaries, case studies, and executive summaries Requirements – education & experience • Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field • Experience in product management with…