Data Product Manager

Mindlance; Juno Beach (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

Mindlance in Juno Beach, FL is seeking a Data Product Manager for a 3‑month engagement. The role focuses on defining the product strategy and roadmap for data products, leading 0‑to‑1 ideation with stakeholders, and delivering AI-enabled prototypes.

You will collaborate with data science and engineering teams to translate discovery into production-ready features and establish success metrics. Responsibilities include overseeing data migration pipelines, prioritizing features by business impact,

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.

Responsibilities

• Define data product strategy and vision aligned with NEE and Data Office goals.
• Develop a product roadmap evolving from 0-1 to scaled delivery.
• Lead 0-to-1 discovery cycles with stakeholders to generate draft product requirements.
• Architect AI-enabled prototypes and oversee AI agents within prototype environments.
• Collaborate with data scientists and engineers to incorporate AI/ML components.
• Oversee data migration and pipeline development using tools like Databricks and AWS Glue.
• Define and monitor KPIs and ROI; manage budget and prepare results reporting.

Skills

Product strategy

Data analysis

Cross-functional collaboration

Stakeholder management

Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree in analytical field (preferred)

Tools

Databricks

AWS Glue

DMS

Job description

Job Title: Data Product Manager

Location: Juno Beach, FL
Duration: 3 Months

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."