Role: Data Product Manager
Juno Beach, FL
Contract
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.
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