Senior Consultant – Energy Consulting (Flexible Load Management Analytics) presso ICF
ICF · New Delhi, India · Onsite
- Senior
- Ufficio in New Delhi
We are hiring a Senior Consultant to join our Flexible Load Management (FLM) Analytics practice. This is an individual contributor role for candidates with strong subject matter expertise in one or more FLM domains and demonstrated business development capabilities. You will be instrumental in evolving ICF’s energy analytics offerings, delivering innovative solutions to client challenges, and driving strategic growth through thought leadership and client engagement. You will work across all levels of staff and lead the technical execution of long-term planning, program design, and implementation support projects with minimal supervision. This role also includes developing tools, models, and offerings that support the analytic foundation of ICF’s FLM consulting.
ICF brings over 50 years of experience advising utilities on integrated resource planning, FLM, customer programs, environmental strategies, and more. Our FLM analytics team is a recognized leader in the U.S. Distributed Energy Resource (DER) space. By combining implementation experience with deep domain expertise and advanced analytics, we help utilities design and execute best-in-class FLM programs.
Key Responsibilities
Support project management – assist project managers with project teams to perform FLM analyses (consulting assignments, implementation projects and analytical support), including scheduling project milestones, drafting the deliverables and managing the budget.
Client engagement and business development - manage and grow client relationships and support the business development efforts with market research and proposal development.
Work in cross-functional teams to build and improve processes and stay abreast of the industry landscape.
Contribute to the development of internal- and external-facing tools and workflows that enable the strategic decision-making process for developing and designing innovative FLM program strategies and roadmaps.
Establish yourself as a thought leader through external publications and presentations that showcase ICF’s technical leadership.
Mentor, coach and train junior staff on various topics within the FLM domain
Conduct novel energy efficiency and decarbonization analyses based on large scale Building Energy Management frameworks, often leveraging existing work such as NREL’s ResStock and ComStock and building upon it.
Required Qualifications:
Master’s degree in Mechanical, Architectural or Electrical Engineering, Building Science, Energy Management, Energy Policy and Planning, or related fields.
5+ years of experience in the energy industry, with expertise in FLM technologies such as demand response, energy efficiency, solar, and storage.
Strong understanding of U.S. energy policy and regulation, especially related to FLM; experience in regulatory and public stakeholder processes is highly valued.
Proven experience supporting large, complex projects and managing multidisciplinary teams.
Preferred Skills/Experience
Experience with Building Energy Modeling, industrial or academic
Familiarity with energy-saving evaluation, measurement and verification methods and protocols (e.g., IPMVP); and related financial analysis tools.
Proficiency in open-source data science languages, preferably Python
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
