Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.
AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.
We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.
Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute’s Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future, we're powering it. Apply now and energize your career with a true leader in global energy.
The Lead Analyst Enterprise Data & AI Governance provides strategic leadership for the development and execution of enterprise Artificial Intelligence, advanced analytics, intelligent automation, and digital transformation initiatives across AES Renewables & Power. The role partners across business and technology organizations to develop scalable AI capabilities, establish governance frameworks, drive enterprise adoption, and deliver measurable business value.
Primary Responsibilities
Lead the development and execution of the AI adoption strategy for AES Renewables & Power.
Identify, prioritize, and deliver enterprise AI initiatives aligned with strategic business objectives.
Establish enterprise AI governance frameworks, standards, best practices, and Responsible AI principles.
Lead the enterprise AI product portfolio from strategy through implementation, adoption, optimization, and value realization.
Partner with Digital, IT, Cybersecurity, Engineering, Operations, Asset Management, Commercial, Finance, Supply Chain leaders and other Renewables and Power departments to deliver enterprise AI capabilities and governance.
Drive digital transformation through AI, intelligent automation, advanced analytics, and data-driven decision support.
Define AI roadmaps, success metrics, adoption strategies, and business value measurements.
Influence executive leadership through strategic recommendations, business cases, and enterprise planning.
Mentor analysts and business stakeholders while advancing enterprise AI maturity and organizational readiness.
Represent Renewables & Power in enterprise AI governance, strategic planning, and cross-functional leadership forums including the Renewables and Power AI Council.
Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Business, Analytics, or related field
Renewables and Power Experience Preferred
4+ years leading enterprise AI, analytics, digital transformation, or technology initiatives.
Experience leading highly complex cross-functional initiatives involving executive stakeholders.
Experience developing and executing enterprise AI or digital strategies.
Strong knowledge of AI governance, Responsible AI, cybersecurity, and enterprise data governance.
Experience managing AI products through the full product lifecycle.
Demonstrated success delivering measurable business value through AI and analytics.
Excellent executive communication, stakeholder management, and strategic planning skills.
Ability to influence enterprise decisions without direct managerial authority.
Technical Expertise
Generative AI, Agentic AI, Microsoft Copilot Studio, Azure AI, Azure OpenAI, Machine Learning
Power Platform, Power BI, Microsoft Fabric, Dataverse, Azure Data Platform
SQL, Python, Semantic Modeling, Enterprise Data Architecture
Enterprise AI Strategy and Product Management
AI Governance and Responsible AI
Data Governance and Metadata Management
Digital Transformation and Intelligent Automation
Executive Communication and Cross-Functional Leadership
Agile Delivery, Portfolio Management, and Strategic Roadmapping
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Louisville, Kentucky, United States
Onsite
