Product Data Manager

We are seeking a hands-on Data Product Manager to lead the end-to-end development of data-centric products. This role requires a strong technical background in data engineering combined with excellent stakeholder management and product discovery skills. Responsibilities • Lead the full lifecycle of data products from discovery through development, launch, and iteration. • Define product strategy, vision, and roadmap in alignment with business objectives and enterprise data priorities. • Conduct product discovery activities, including user interviews, design workshops, surveys, and usability testing, to validate concepts and gather requirements. • Partner closely with data engineering, solution architects, and business stakeholders to translate insights into high-impact product features. • Actively manage product backlog, prioritize features based on business value and technical feasibility, and drive development efforts. • Facilitate workshops and effectively communicate with stakeholders across all levels of the organization. • Define and track key performance metrics (KPIs) and product-level financials to measure success and ROI. • Create product collateral, including charters, case studies, and executive presentations. Required Qualifications & Skills • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred). • Strong hands-on data engineering experience with data modeling, ETL processes, data warehousing, and modern data architectures. • Proven track record leading data product development with clear ownership and active involvement (not just oversight). • Excellent communication and stakeholder management skills with demonstrated ability to run effective workshops and influence cross-functional teams. • Experience with data visualization, reporting tools, CI/CD workflows, and product lifecycle management. • Strong analytical mindset with the ability to derive actionable insights from data. We are looking for a proactive, technically strong Product Manager who can effectively bridge business needs with data engineering execution. If you have a strong background in building data products from discovery to delivery and can share specific examples of products you’ve personally driven, we’d love to hear from you.