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Associate Director, AI & Data, Energy Providers

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Guidehouse 2 weeks ago Be among the first 25 applicants Join to apply for the

Associate Director, AI & Data, Energy Providers

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Guidehouse Get AI-powered advice on this job and more exclusive features. We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible for shaping and delivering AI- and data-driven transformations that enable utilities to achieve operational excellence, decarbonization goals, grid modernization, and customer-centric innovation. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy. Client Leadership & Engagement: Serve as a trusted advisor to utility clients on AI and data strategy, including demand forecasting, asset analytics, grid optimization, and customer engagement. Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes. Develop and maintain relationships with key clients and stakeholders. Solution Development & Innovation: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and analytics products. Stay ahead of industry trends and emerging technologies to inform solution development. Team & Practice Leadership: Support business development through proposal development, thought leadership, and strategic pursuits. Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants. Contribute to recruiting, talent development, and thought leadership within the practice. Industry & Domain Expertise: Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience. Interpret regulatory and policy changes to identify opportunities for AI and data enablement. Requirements include minimum seven years of hands-on AI, data engineering, and analytics expertise, minimum five years delivering data-driven transformation programs within utilities or energy sector, strong understanding of AI/ML technologies, data platforms (Snowflake, Databricks, AWS/GCP/Azure), analytics methodologies, experience in business development lifecycle, proven leadership in large-scale analytics and AI engagements, ability to collaborate across organizational levels, excellent communication and relationship-building skills. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Engineering and Information Technology Industries

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