Associate Director, AI & Data, Energy Providers
Listed on 2026-01-06
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IT/Tech
Data Science Manager, Data Analyst
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.
- Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships.
- 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 to grow accounts and influence buying decisions.
- 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.
- Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market.
- Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets.
- 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.
- 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 and create new revenue streams.
- Minimum SEVEN (7) 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.
- Minimum FIVE (5) 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.
- Deep understanding of 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
- Proven experience across the business development lifecycle—including opportunity identification, capture strategy, and proposal development—while ensuring alignment with technical delivery.
- Track record of leading large-scale AI and analytics engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities.
- Demonstrated ability to source, structure, and execute strategic partnerships between technology providers and business stakeholders to accelerate both delivery and market expansion.
- Ability to engage and influence diverse audiences—from C‑suite executives (CIO, CISO, CDO) to technical teams—bridging business objectives with technical solutions.
- Skilled at motivating and guiding multi-disciplinary teams of AI and data specialists to deliver at scale while fostering a growth-oriented culture.
- Exceptional communication, facilitation, and relationship-building skills that drive trust, collaboration, and commercial success.
- Bachelor's degree
- Master’s Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field
- AI/L…
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