AI Product Manager, Analytics Solutions

NextEra Energy; Saint Paul (MN); On-site; USD 90,000 - 120,000; Full time

Job summary

NextEra Energy seeks a Product Manager to lead AI-powered product strategy and delivery within the NextEra Analytics organization. You will define and execute solutions using advanced analytics and AI to optimize large-scale operations.

You will partner with business, engineering, and data science teams to prioritize opportunities, translate needs into intuitive solutions, and drive products from concept to production in a complex environment.

Qualifications

• Bachelor's degree is required.
• Minimum 2 years of experience in product management or related field.

Responsibilities

• Formulate and communicate a compelling product vision and strategy that aligns with NextEra’s goals and market opportunities.
• Develop and maintain a comprehensive product roadmap, ensuring alignment with business priorities and stakeholder expectations.
• Collaborate with engineering, data science, marketing, and other teams to drive product initiatives and deliver best-in-class solutions.
• Engage with customers, partners, and stakeholders to understand needs, gather feedback, and ensure the product meets expectations.
• Lead Agile development processes, including sprint planning, backlog prioritization, and cross-functional team coordination.
• Define and track KPIs to measure product success and drive continuous improvement.
• Conduct market research and competitive analysis to identify trends and risks related to product development.
• Provide regular updates to leaders and stakeholders on product progress and strategic direction.
• Perform other job-related duties as assigned

Education

Bachelor's Degree

Job description

NextEra Energy seeks a Product Manager to lead AI-powered product strategy and delivery within the NextEra Analytics organization. You will define and execute solutions using advanced analytics and AI to optimize large-scale operations.

You will partner with business, engineering, and data science teams to prioritize opportunities, translate needs into intuitive solutions, and drive products from concept to production in a complex environment.