Data Product Manager

Job Description

Job Title: Data Product Manager

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Location: Juno Beach, FL

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Duration: 3 Months

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Position Overview:

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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.

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Key Responsibilities:

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Product Strategy and Vision

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• Define data product strategy and vision aligned with NEE and Data Office goals.
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• Develop a product roadmap that evolves with changing user needs, including phased 0-1 to scaled delivery planning.
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• Identify Enterprise Data opportunities and user needs through research, analysis, and emerging technology assessment.
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Product Discovery & 0-1 Ideation

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• Lead 0-to-1 product ideation cycles, transforming undefined problem spaces into structured product concepts with clear business cases.
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• Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements.
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• Conduct user interviews and surveys to gather insights and validate product concepts.
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• Develop mockups, wireframes, and low-fidelity prototypes to rapidly test and validate hypotheses prior to full development.
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• Conduct usability testing on prototypes and iterate based on stakeholder and end-user feedback.
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• Engage in competitive analysis to identify differentiation opportunities.
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• Utilize data-driven techniques to uncover emerging trends and inform discovery.
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Prototyping & AI Development

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• Architect and deliver functional 0-1 prototypes, including AI-enabled capabilities, to demonstrate product value and de-risk full-scale investment.
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• Lead the design and development of AI agents within prototype environments, defining agent objectives, tool integrations, orchestration logic, and evaluation criteria.
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• Collaborate with data scientists and engineers to incorporate generative AI, ML models, or LLM-based components into prototypes as needed to meet product goals.
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• Establish prototype success criteria and manage the transition from prototype to production-ready product.
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Product Development & Tech Oversight

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• Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights and validated prototypes into product features.
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• Oversee the use of data migration development tools (e.g., Databricks, AWS Glue, DMS, or equivalent) to support data movement, transformation, and pipeline development within the product lifecycle.
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• Prioritize features and functionalities based on business impact and technical feasibility.
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Stakeholder Management

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• Engage with stakeholders across the organization to gather requirements and communicate product status.
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• Advocate for product within the company and ensure alignment with business objectives.
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• Provide training and support for users and stakeholders to maximize product adoption.
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Data Analysis and Insights

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• Utilize data analysis tools to derive insights and inform product decisions.
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• Ensure the accuracy and quality of data within products.
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Performance Metrics and Reporting

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• Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis).
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• Manage budget for product development and ensure optimal resource allocation.
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• Prepare reports and presentations to communicate results and insights.
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• Create product collateral (e.g., Product Charters, prototype summaries, case studies, 1-pagers).
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Qualifications

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

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“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. ”