Data Product Manager

Position Overview:
The Data Product Manager is responsible for leading the lifecycle of data-centric products, focusing on product discovery to ensure alignment with user needs and business value.

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.
• Identify Enterprise Data opportunities and user needs through research and analysis.

Product Discovery:
• 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 and conduct usability testing.
• Engage in competitive analysis to identify differentiation opportunities.
• Utilize data-driven techniques to uncover emerging trends and inform discovery.

Product Development and Tech Oversight:
• Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights into product features.
• 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, 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.
• Experience in product management, with a focus on data products and discovery.
• Strong technical background with an understanding of data technologies and tools.
• Excellent communication skills and ability to work cross-functionally.

Skills:
• Proficiency in data analysis, data warehousing, and other data software architecture considerations.
• Software development experience (e.g. knowledge of data modeling, ETL processes, CI/CD workflows, alerts and error handling).
• Understanding of product lifecycle management.
• Experience with data visualization and reporting tools.
Strong skills in product discovery, user research, and prototype testing.