Data Product Manager

Kforce has a client in Juno Beach, FL that is seeking a Data Product Manager. Key Responsibilities:

• Define data product strategy and vision aligned with NEE and Data Office goals
• Develop a product roadmap that evolves with changing user needs, including phased 0-1 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 0-1 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 (e.g., Databricks, AWS Glue, DMS)

Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field; Master's degree in an analytical field preferred
• Experience in product management with a focus on data products, discovery, and 0-to-1 product delivery
• Strong technical background with an understanding of data technologies, AI/ML tooling, and data migration frameworks
• Excellent communication skills and ability to work cross-functionally