Data Product Manager

RESPONSIBILITIES

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

Position Overview

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 Company 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

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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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