Engineering and Process Improvement Manager (Energy Efficiency & AI Enablement)

Leidos•Framingham, MA

23h

About The Position

Leidos is seeking an Engineering and Process Improvement Manager to lead, optimize, and scale energy-efficiency initiatives across commercial and industrial sectors in Connecticut, Massachusetts, and Rhode Island. This role blends technical engineering expertise, process optimization, and AI-driven innovation to enhance program delivery, customer outcomes, and operational efficiency. The ideal candidate will drive continuous improvement strategies , leverage data analytics and artificial intelligence , and lead cross-functional teams to modernize how energy efficiency solutions are identified, evaluated, and implemented. Primary Responsibilities: Engineering & Technical Leadership Lead the identification, evaluation, and implementation of energy efficiency solutions across commercial and industrial systems, including lighting, HVAC, and industrial processes Oversee and validate energy savings calculations , ensuring accuracy, scalability, and compliance with utility program requirements Provide expert technical guidance to clients on the design, procurement, and installation of energy-efficient systems Maintain deep knowledge of building systems, industrial systems, and emerging energy technologies Design and implement process improvement frameworks to enhance efficiency, quality, and consistency in program delivery Standardize workflows for energy assessments, project tracking, reporting, and customer engagement Identify bottlenecks and inefficiencies, and deploy solutions Establish KPIs and performance metrics to drive continuous improvement Lead the integration of AI and advanced analytics into energy efficiency workflows, including: Automated energy savings calculations and modeling Predictive analytics for identifying efficiency opportunities AI-assisted audit tools and digital assessments Intelligent customer segmentation and outreach optimization Evaluate and implement AI-enabled tools and platforms to improve decision-making, reduce manual effort, and enhance accuracy Partner with internal teams to develop data pipelines, dashboards, and digital solutions for real-time insights Promote a culture of innovation by identifying opportunities to apply machine learning, automation, and generative AI to program operations Build and maintain strong relationships with large commercial and industrial clients Present technical solutions and process improvements to stakeholders in a clear and compelling manner Advise clients on strategies for continuous demand reduction and long-term energy optimization Support business development efforts by identifying new opportunities and enhancing program value propositions Lead and mentor a team of engineers, analysts, and program staff Foster collaboration across engineering, operations, data science, and client-facing teams Communicate complex technical and process-related concepts effectively across diverse audiences

Requirements

10+ years of experience delivering customized energy solutions and performing energy analysis in commercial and industrial environments
Bachelor’s degree in Engineering (Industrial, Mechanical, or related); Master’s degree in business preferred
Strong analytical and statistical skills, including advanced proficiency in Excel and data analysis tools
Demonstrated ability to learn and apply new technologies, including AI and digital tools
Excellent written and verbal communication skills
Ability to perform field verification of pre- and post-installation energy measures
Valid driver’s license

Nice To Haves

Master’s degree in business or related field
Experience in Commercial & Industrial energy assessments and audits
Background in industrial energy efficiency program
Experience with: Data visualization tools (e.g., Power BI, Tableau) Programming or scripting (Python, R) for analytics or automation AI/ML applications in engineering, operations, or energy systems

Responsibilities

Lead the identification, evaluation, and implementation of energy efficiency solutions across commercial and industrial systems, including lighting, HVAC, and industrial processes
Oversee and validate energy savings calculations , ensuring accuracy, scalability, and compliance with utility program requirements
Provide expert technical guidance to clients on the design, procurement, and installation of energy-efficient systems
Maintain deep knowledge of building systems, industrial systems, and emerging energy technologies
Design and implement process improvement frameworks to enhance efficiency, quality, and consistency in program delivery
Standardize workflows for energy assessments, project tracking, reporting, and customer engagement
Identify bottlenecks and inefficiencies, and deploy solutions
Establish KPIs and performance metrics to drive continuous improvement
Lead the integration of AI and advanced analytics into energy efficiency workflows, including: Automated energy savings calculations and modeling Predictive analytics for identifying efficiency opportunities AI-assisted audit tools and digital assessments Intelligent customer segmentation and outreach optimization
Evaluate and implement AI-enabled tools and platforms to improve decision-making, reduce manual effort, and enhance accuracy
Partner with internal teams to develop data pipelines, dashboards, and digital solutions for real-time insights
Promote a culture of innovation by identifying opportunities to apply machine learning, automation, and generative AI to program operations
Build and maintain strong relationships with large commercial and industrial clients
Present technical solutions and process improvements to stakeholders in a clear and compelling manner
Advise clients on strategies for continuous demand reduction and long-term energy optimization
Support business development efforts by identifying new opportunities and enhancing program value propositions
Lead and mentor a team of engineers, analysts, and program staff
Foster collaboration across engineering, operations, data science, and client-facing teams
Communicate complex technical and process-related concepts effectively across diverse audiences