Associate Director – AI & Data (Energy Providers | EM&V)
- Source: LinkedIn
- Office Collective
- $135,000 to $225,000 /yr
- On-site
- New York City
- Full-Time
- Senior
Job Description
Location: New York, NY
Salary: $135,000 – $225,000 + Bonus & Comprehensive Benefits
Travel: Up to 10%
**Industry: Management Consulting Energy & Utilities Artificial Intelligence**Lead the Future of AI in the Energy Sector
Are you an experienced consulting leader with expertise in Evaluation, Measurement & Verification (EM&V) , AI and advanced analytics?
We’re looking for an Associate Director – AI & Data to lead strategic consulting engagements for commercial energy providers, helping organisations transform the way they evaluate, optimise and deliver energy efficiency and demand-side management programmes.
This is an exciting opportunity to combine technical expertise, commercial leadership and AI innovation while shaping the future of the energy transition.
The Opportunity
As an Associate Director, you’ll lead large-scale consulting engagements focused on AI-driven evaluation of utility programmes, while driving business growth and developing long-term client partnerships.
Working closely with executive stakeholders, you’ll oversee multidisciplinary teams delivering advanced analytics across energy efficiency, demand response, renewable energy, electrification and decarbonisation initiatives.
Key Responsibilities
- Lead complex EM&V consulting engagements from strategy through implementation.
- Design and oversee evaluation methodologies for utility programmes.
- Deliver AI and advanced analytics solutions that improve programme performance.
- Build trusted relationships with executive clients and industry stakeholders.
- Drive business development, proposals and strategic growth opportunities.
- Lead multidisciplinary teams of consultants, engineers and data specialists.
- Present technical findings and translate them into clear business recommendations.
- Mentor team members while contributing to practice growth and thought leadership.
- Stay ahead of emerging AI technologies and industry trends to deliver innovative client solutions.
About You
You’ll be an experienced consulting leader with a strong background in energy programme evaluation and AI-driven analytics.
You’ll ideally have:
- 7+ years’ experience within the energy industry.
- 5+ years leading Demand Side Management (DSM) or EM&V programme evaluations.
- Strong knowledge of energy efficiency, demand response, renewable energy, EV, electrification and decarbonisation programmes.
- Experience using Python, R, SQL or similar analytical programming languages.
- Experience with GitHub, AI-assisted coding tools and modern data visualisation platforms including Power BI, R Shiny or Dash.
- Commercial consulting experience with proven business development success.
- Outstanding communication and stakeholder management skills.
- Experience leading multidisciplinary consulting teams.
Desirable
- AI and Machine Learning experience.
- Experience with Snowflake, Databricks, AWS, Azure or Google Cloud.
- AI or Large Language Model (LLM) certifications.
- Project Management Professional (PMP) certification.
What’s on Offer
- Salary of $135,000 – $225,000 .
- Performance-related bonus.
- Comprehensive medical, dental and vision cover.
- 401(k) retirement plan.
- Paid holidays and family leave.
- Tuition reimbursement and professional development.
- Technical certification support.
- Career progression within a growing AI and Data consulting practice.
- Opportunity to influence AI adoption across the energy and utilities sector.
Why Apply?
This is an outstanding opportunity for an experienced consulting leader who wants to combine AI, advanced analytics and commercial leadership to help shape the future of the energy industry.
If you’re passionate about innovation, client impact and delivering meaningful transformation, we’d love to hear from you.
Skills
- Python
- Github
- power-bi
- shiny
- Snowflake
- azure-databricks
- databricks
- amazon-web-services
- microsoft-azure
- google-cloud-platform
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