Lead AI Strategist - Trade & Data Platforms

NextEra Energy•Juno Beach, FL

4d•Onsite

About The Position

NextEra Energy Marketing is seeking a highly technical and entrepreneurial Lead AI Strategist to design, build, and scale data and analytics solutions that power front-office trading, risk management, and operational workflows. This role sits at the intersection of AI development, trading, data engineering, and quantitative analytics, enabling accurate, high-quality data flows and real-time insights across the organization. The ideal candidate will partner directly with traders and business stakeholders to deliver low-latency, scalable, and high-impact solutions, while modernizing legacy processes and reducing reliance on manual Excel-driven workflows. Experience developing applications using low-code/no-code platforms and AI coding assistants (e.g., Claude, Codex, Devin, Windsurf) is highly preferred.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
Strong experience building and maintaining ETL pipelines and data platforms
Proficiency with: Python (data manipulation, automation, scripting) and SQL (data extraction, transformation, and optimization)
High School Grad / GED
Bachelor’s or Equivalent Experience
Experience: 6+ years

Nice To Haves

Experience developing applications using low-code/no-code platforms and AI coding assistants (e.g., Claude, Codex, Devin, Windsurf) is highly preferred.
Entrepreneurial mindset with a strong sense of ownership and accountability
Ability to operate independently with minimal supervision
Strong problem-solving skills and creativity in applying technology solutions
Proven ability to build trust with traders and stakeholders in fast-paced environments
Focus on delivering practical, high-impact solutions quickly
Comfortable working across both technical and business domains
Experience in power, gas, or commodities trading environments
Familiarity with low-code/no-code solutions (Codex, Windsurf, or similar)
Experience with BI and visualization tools (e.g., Power BI, Tableau)
Exposure to quantitative modeling, backtesting, and statistical analysis
Knowledge of regulatory reporting and compliance data requirements
Master’s - Business Administration

Responsibilities

Design, develop, and deploy AI-powered applications, agents, and workflow automations that solve business problems and improve operational efficiency.
Leverage AI coding assistants (e.g., Claude, Codex, Windsurf, Copilot) to accelerate software development, testing, and deployment.
Build and integrate APIs, databases, LLMs, vector stores, and enterprise systems to create scalable AI solutions.
Develop and maintain data pipelines, retrieval-augmented generation (RAG) solutions, and agentic workflows using structured and unstructured data sources.
Design, build, and maintain ETL/ELT pipelines supporting trade, position, and market data ingestion and transformation.
Develop robust data models and pipelines ensuring data accuracy, timeliness, and consistency across trading systems.
Perform data mapping, cleansing, normalization, and transformation using SQL-based solutions.
Implement monitoring and controls to ensure high data quality and reliability.
Integrate front-office trading systems with mid- and back-office platforms (risk, settlements, finance).
Enable seamless flow of data across deal capture, position tracking, P&L, and reporting systems.
Troubleshoot and resolve data discrepancies across systems.
Manage market data subscriptions, ingestion, and vendor integrations.
Ensure completeness, accuracy, and availability of real-time and historical market data.
Establish data validation and reconciliation processes.
Develop dashboards and reporting for P&L and attribution, Position and exposure monitoring, and Risk metrics and performance tracking.
Support business users with self-service reporting capabilities using modern BI tools.
Partner with traders to develop and backtest trading strategies, analyze historical and forward market data, and optimize market entry/exit signals.
Build lightweight models to support pricing, risk assessment, and scenario analysis.
Design and deploy lightweight, headless applications to automate manual processes currently performed in Excel.
Leverage low-code / no-code platforms (e.g., Codex, Windsurf) to rapidly develop and deploy solutions.
Improve operational efficiency through automation of trade reconciliation, reporting workflows, and data ingestion and validation.
Act as a trusted partner to front-office trading teams.
Build strong relationships and proactively identify opportunities to deliver value.
Translate business needs into scalable technical solutions.
Prepares and executes strategic project plans, including selection and/or modification of tools, communications, data collection, analysis of results, creating a roadmap for change, and report of findings.
Structures an on-going process to identify key opportunities for improvement.
Partners with business leaders to drive insight and action based on key identified opportunities.
Measures effectiveness of initiatives to ensure that the actions being taken are achieving the results desired.
Prepares reports and recommendations for senior leadership.
Serves as department resource and mentor to other staff.
Performs other job-related duties as assigned.