Data Product Manager x 2

Delan Associates, Inc; Juno Beach (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Delan Associates, Inc. is seeking a Product Manager focused on data products to drive strategy and roadmap. You will lead 0-to-1 discovery, coordinate with business units, and translate insights into actionable features leveraging AI/ML capabilities.

You will oversee data migration tooling, work with data scientists and engineers, measure KPIs, and communicate progress to stakeholders. Strong communication and cross-functional collaboration are essential.

Qualifications

• Bachelor's degree in CS/Engineering/Data Science or related analytical field.
• Master's degree 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 goals.
• Develop a data product roadmap evolving with user needs (0-1 to scale).
• Identify opportunities through research and emerging tech assessment.
• Lead 0-to-1 ideation with stakeholders and craft business cases.
• Conduct user interviews and create mockups/prototypes for testing.
• Architect AI-enabled prototypes and integrate ML/LLM components as needed.
• Coordinate with engineering for data migration pipelines (Databricks, AWS Glue).
• Prioritize features by business impact and feasibility.
• Engage stakeholders, provide training, and communicate progress.
• Define KPIs and prepare reports to show ROI and outcomes.

Skills

Product management

Data products

AI/ML tooling

Cross-functional collaboration

Communication

Education

BSc or equivalent in CS/Eng/Data Science

Master's degree preferred

Tools

Databricks

AWS Glue

DMS

Job description

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.