Product Manager - Data Platforms

NextEra EnergyFL
119d

About The Position

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.

Requirements

  • High School Grad / GED
  • Bachelor's or Equivalent Experience
  • Experience: 4+ years

Nice To Haves

  • Master's Degree
  • Proficiency in data analysis, data warehousing, and other data software architecture considerations.
  • Software development experience including 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Utilize data analysis tools to derive insights and inform product decisions.
  • Ensure the accuracy and quality of data within products.
  • Define and monitor KPIs to assess product performance and return on investment.
  • Manage budget for product development and ensure optimal resource allocation.
  • Prepare reports and presentations to communicate results and insights.
  • Create product collateral such as case studies and 1-pagers.
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