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Data Product Manager
Mindlance
- 🇺🇸 United States
- On-site
- Manager or above
- 19 hours ago
- Usability Testing
- AI
- Machine Learning
- Databricks
- AWS Glue
- AI/ML
19 hours ago
Location: Juno Beach, FL
Duration: 3 Months
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
Product Strategy and Vision
- 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.
Product Discovery & 0-1 Ideation
- 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.
Prototyping & AI Development
- 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.
Product Development & Tech Oversight
- 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, or equivalent) to support data movement, transformation, and pipeline development within the product lifecycle.
- Prioritize features and functionalities based on business impact and technical feasibility.
Stakeholder Management
- Engage with stakeholders across the organization to gather requirements and communicate product status.
- Advocate for product within the company and ensure alignment with business objectives.
- Provide training and support for users and stakeholders to maximize product adoption.
Data Analysis and Insights
- Utilize data analysis tools to derive insights and inform product decisions.
- Ensure the accuracy and quality of data within products.
Performance 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.
- Prepare reports and presentations to communicate results and insights.
- Create product collateral (e.g., Product Charters, prototype summaries, case studies, 1-pagers).
Qualifications
- 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.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Data Product Manager · Mindlance