Principal Data Product Manager

Kforce has a client that is seeking a Principal Data Product Manager in Juno Beach, FL.Summary:The Principal Data Product Manager is responsible for leading the lifecycle of data-centric products, focusing on product discovery to ensure alignment with user needs and business value.Key Responsibilities:Product Strategy and Vision:Define data product strategy and vision aligned with EDP goalsDevelop a product roadmap that evolves with changing user needsIdentify Enterprise Data opportunities and user needs through research and analysisProduct Discovery:Conduct design sessions with business unit stakeholders to ideate and yield draft product requirementsConduct user interviews and surveys to gather insights and validate product conceptsDevelop mockups and conduct usability testingEngage in competitive analysis to identify differentiation opportunitiesUtilize data-driven techniques to uncover emerging trends and inform discoveryProduct Development and Tech Oversight:* Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights into product features* Prioritize features and functionalities based on business impact and technical feasibilityStakeholder Management:Engage with stakeholders across the organization to gather requirements and communicate product statusAdvocate for product within the company and ensure alignment with business objectivesProvide training and support for users and stakeholders to maximize product adoptionData Analysis and Insights:* Utilize data analysis tools to derive insights and inform product decisions* Ensure the accuracy and quality of data within productsPerformance Metrics and Reporting:Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis)Manage budget for product development and ensure optimal resource allocation* Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical fieldMaster's degree in an Analytical fieldExperience in product management, with a focus on data products and discoveryStrong technical background with an understanding of data technologies and toolsExcellent communication skills and ability to work cross-functionallyProficiency in data analysis, data warehousing, and other data software architecture considerationsSoftware development experience (e.g., knowledge of ETL processes, CI/CD workflows, alerts, and error handling)Understanding of product lifecycle managementExperience with data visualization and reporting toolsStrong skills in product discovery, user research, and prototype testing