Associate Director, AI

Qualifications

• Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience
• Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise
• Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector
• Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies
• Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities
• Proven track record of leading large-scale analytics and AI engagements from concept to execution
• Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users
• Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst
• Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale
• Excellent communication, facilitation, and relationship-building skills

Responsibilities

• Travel Required: Up to 10%
• 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
• Simulation 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
• Interpret regulatory and policy changes to identify opportunities for AI and data enablement

Full Description

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 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.

Simulation 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.

What You Will Need:

• Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise

• Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector.

• Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies.

• Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities.

• Proven track record of leading large-scale analytics and AI engagements from concept to execution.

• Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users.

• Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst.

• Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale.

• Excellent communication, facilitation, and relationship-building skills.