Associate Director - AI & Data, Energy Providers

🏢 Guidehouse · all Guidehouse jobs
📍 United States
💰 USD 149,000 - 248,000 / annual
📅 Posted 2026-08-03 · via Himalayas
🏷 AI-and-Data-Leadership,Data-Science-Consulting,Energy-Sector-Analytics,Management-Consulting,Business-Development,Director-Of-Data-And-AI-Enablement,Director-Of-Data-And-AI,Data-and-AI-Consulting-Director
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Job Family:
Data Science Consulting Travel Required:
Up to 10% Clearance Required:
None What You Will Do:

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 driving business growth through proactive sales efforts as well as for shaping and delivering AI- and data-driven transformations. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through AI & data strategy through implementation of AI-based solutions. This is a leadership role for someone who thrives at the intersection of industry strategy, market growth, and technology.

Client Leadership & Engagement

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Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships.

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Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes.

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Develop and maintain relationships with key clients and stakeholders to grow accounts and influence buying decisions.

Solution Development & Innovation

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Drive end-to-end solution development leveraging AI and advanced analytics, with a strong emphasis on AI and data strategy, governance, and innovation to deliver scalable, client-centric outcomes.

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Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market.

Team & Practice Leadership

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Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets.

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Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants.

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Contribute to recruiting, talent development, and thought leadership within the practice.

Industry & Domain Expertise

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Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience.

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Interpret regulatory and policy changes to identify opportunities for AI and data enablement and create new revenue streams.

What You Will Need:

- Bachelors Degree in STEM field

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SEVEN (7) or more years of experience in AI, data strategy, and analytics consulting, with a proven track record in business development—including client relationship management, opportunity identification, and contribution to revenue growth.

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FIVE (5) or more years of experience leading data-driven transformation initiatives within the utilities or broader energy sector, with a focus on strategic planning, stakeholder engagement, and change management.

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Experience using AI/ML technologies, modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and advanced analytics methodologies, with the ability to translate technical capabilities into strategic value propositions during client engagements

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Experience across the business development lifecycle—including opportunity identification, capture strategy, and proposal development—while ensuring alignment with technical delivery.

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Experience leading large-scale AI and analytics engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities.

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Experience in sourcing, structuring, and executing strategic partnerships between technology providers and business stakeholders to accelerate both delivery and market expansion.

What Would Be Nice To Have:

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Ability to engage and influence diverse audiences—from C-suite executives (CIO, CISO, CDO) to technical teams—bridging business objectives with technical solutions.

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Skilled at motivating and guiding multi-disciplinary teams of AI and data specialists to deliver at scale while fostering a g

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