Lead Analyst, Enterprise Data & AI Governance

About the role

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.

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