Senior Data Management Engineer

Requisition ID:  95929 

 

NextEra Energy Resources is one of America’s largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!

 

Position Specific Description

We are building a next-generation People Analytics function focused on delivering predictive, AI-enabled workforce intelligence at scale.

This role will be foundational in architecting and building the data infrastructure that powers advanced analytics, AI use cases, and strategic workforce decision-making across the enterprise.

This position designs, develops, and maintains workforce data solutions that support People Analytics, workforce intelligence, and AI-enabled decision-making capabilities.

Employees in this role are responsible for building and optimizing data pipelines, integrated workforce data models, semantic layers, and analytics-ready datasets that enable trusted reporting, self-service analytics, predictive insights, and future AI applications. The role partners with HR, analytics, technology, and business teams to deliver scalable data products and ensure the quality, accessibility, and reliability of workforce data.

 

Responsibilities:

• Designs, develops, and maintains workforce data pipelines and integrations across HR, talent, operational, and enterprise systems
• Builds and enhances analytics-ready workforce data models, semantic layers, calculation views, and governed datasets
• Develops and maintains workforce data solutions within an SAP ecosystem (SuccessFactors, SAP HANA, S/4HANA, Power BI), while partnering with broader IT and technology teams to evaluate and leverage additional data platforms in support of AI-enabled use cases.
• Integrates and blends workforce, operational, and enterprise datasets to create enriched, analytics-ready data products that enable actionable, cross-functional insights.
• Applies data science techniques — including statistical modeling, feature engineering, and exploratory data analysis — to support predictive workforce analytics and AI use case development.
• Contributes to the evaluation and strategic roadmap of the People Analytics technology stack, identifying emerging platforms and tools that advance AI-enabled workforce intelligence capabilities.
• Ensures data quality, consistency, lineage, and reliability across People Analytics data assets
• Supports development and maintenance of workforce metrics, KPIs, dashboards, and self-service analytics capabilities
• Partners with HR, analytics, and business stakeholders to understand requirements and deliver scalable data solutions
• Monitors, troubleshoots, and optimizes data pipelines and data infrastructure performance
• Contributes to data governance, metadata management, and workforce data standards
• Supports predictive analytics, workforce intelligence, and AI-enabled analytics initiatives through high-quality data architecture and engineering practices
• Documents solutions, processes, and technical designs to support maintainability and scalability
• May mentor junior team members and contribute to project leadership
• Performs other job-related duties as assigned

 

In this role, success means:

• Establishing a scalable, trusted workforce data foundation
• Reducing friction between question → insight → action
• Enabling predictive and AI-driven workforce intelligence
• Increasing adoption of self-service analytics and reusable data products
• Improving trust, consistency, and governance of workforce metrics
• Accelerating the organization’s ability to make proactive talent decisions