Lead Analyst, Enterprise Data & AI Governance

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

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

The expected salary for this position, at commencement of employment, is between $113,000 and $141,525/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Apply by clicking the application link below and submitting your information. The deadline to apply for this role is 09/03/2026