Vice President, Data Platform Lead

We are seeking a hands-on technology leader to drive the development of cloud and data platforms to support customer-facing energy programs, building and fleet electrification, demand-side management, and energy analytics. This role focuses on modernizing and creating new technical foundations for immediate program delivery while enabling AI-driven capabilities for the near future. The lead will accelerate our path to:

• Platform: Scalable, performant, cost managed, and secure infrastructure

• Data: Strategic data posture to best enable our consultants, products, AI future

• AI: best positioning our data and people to thrive with AI acceleration

PRIMARY RESPONSIBILITIES

• Develop and optimize cloud platforms, data and AI assets that support electrification and energy efficiency initiatives. Future work will expand into other domains.

• Establish partnerships to scale delivery through reusable components, team growth, and external collaboration

• Mentor technical staff and help advise future operational models and ways of working

• Define and implement platform patterns to scale across business units and domains

SUPPORTING RESPONSIBILITIES

• Build scalable, secure data infrastructure to power real-time energy analytics, program measurement, and reporting

• Enable data and AI/ML pipelines for predictive targeting, demand forecasting, and customer engagement

• Implement CI/CD and infrastructure automation pipelines using infrastructure-as-code

• Ensure platform observability and performance via SRE principles and robust monitoring solutions

• Optimize and create new integrations to AMI, sensor, and external energy datasets

• Support understanding and compliance with FedRAMP, SOC 2, NERC CIP, OpenADR, and other regulatory security and data standards

SUCCESS LOOKS LIKE

• Staying focused on a manageable set of issues / opportunities to ensure traction

• Obvious acceleration of meaningful cloud optimization

• AI/ML capabilities become accessible and reusable for energy-focused use cases

• Impact of role is scaled through team collaboration to access resources as needed

REQUIRED QUALIFICATIONS

• 12+ years of experience in cloud engineering, data platform delivery, and infrastructure

• Hands-on expertise in Azure, cloud-native architecture, and modern DevOps practices

• Strong background in infrastructure-as-code, CI/CD, and secure data system design

• Experience building or enabling AI/ML pipelines in production environments

• Familiarity with GenAI tooling, vector search, or scenario planning platforms

• Familiarity with energy efficiency, electrification, or utility program delivery

• Experience with AMI, building energy data, DER integration, or electrification

• Previous work in consulting, public sector, or regulated industries

EXPECTED WORK PATTERNS

• Work with strategic and domain stakeholders to identify and prioritize highest value opportunities to advance cloud, data, and AI.

• Leverage your advanced toolbox as an experience engineer to provide what's needed to advanced initiatives forward. This could be individually doing technical work, leading a small team, or facilitating activities to accelerate path to outcomes.

KEY PARTNERSHIPS

• EEI CTO

• UPS Technology and Product Leads

• EEI Head of Product

• EEI Engineers (including paired role with focus on energy infrastructure)

• EEI Technology and AI Enablement Lead

• ICF CDO

• ICF SCS team

• ICF CISO

TOOLING PROFICIENCIES

• Azure cloud platform services (there will be some AWS work)

• MS Fabric, Purview, AI Foundry, KQL, PowerBI, Data Factory, Databricks

• Azure AI Studio / Foundry

• Apache Spark, Azure Synapse

• Azure SQL / SQL Server

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.

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Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair 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 accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:
$231,370.00 - $393,330.00

Reston, VA (VA30)