Product Manager – Data & Analytics

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 EDP 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. 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 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