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Bechtel Corporation seeks a Deputy AI Program Manager to lead the corporate artificial intelligence program within the EPC Transformation organization. The role carries senior accountability for the program's portfolio, from use case intake through production service and enterprise-wide adoption, and for governance, funding, and partner arrangements.
This working leadership role blends strategic and hands-on tasks, including shaping business cases, prioritizing projects, and coaching delivery
Relocation Authorized: National - Family
Telework Type: Part-Time Telework
Work Location: Houston, TX
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report .
We are seeking a Deputy AI Program Manager to help lead the corporate artificial intelligence program within our Engineering, Procurement, and Construction (EPC) Transformation organization. The role carries senior accountability for the program's portfolio, from use case intake through production service and enterprise-wide adoption, and for the governance, funding, and partner arrangements that hold it together. Success is measured less by any single deliverable than by the steady, predictable operation of a portfolio that spans pilots, production services, and sustained change across the business.
This is a working leadership role rather than an administrative one. In a given week it may involve shaping the business case for a new use case, arbitrating priorities between competing projects, reviewing a solution design with an engineering team, briefing an executive sponsor on benefits realization, and coaching a delivery lead through a difficult stakeholder conversation. The successful candidate moves comfortably between that strategic and hands-on register, and is credible with technical practitioners and senior business leadership alike. Experience in the EPC industry is preferred.
In this role, you may be required to travel to other corporate or project offices.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership"
Provide senior leadership across the AI program, exercising decision rights over scope, priority, and resourcing within agreed program tolerances and escalating promptly where a decision falls outside them.
Maintain the program roadmap, intake process, and prioritization criteria so that new demand is assessed consistently against business value, feasibility, data readiness, and risk.
Chair program governance forums, prepare decision material for steering committees, and ensure decisions taken are recorded, communicated, and followed through.
Represent the AI program in planning cycles, including budget preparation, resource forecasting, and annual objective setting.
Own the health of the delivery portfolio end to end, from concept through production support, holding delivery leads accountable for schedule, cost, quality, and benefit commitments.
Review solution architectures and delivery approaches with engineering and data leads to confirm they are supportable, secure, and aligned to enterprise technology standards.
Manage dependencies between AI initiatives and adjacent programs such as the data platform, cybersecurity, and enterprise applications.
Drive the transition of successful pilots into supported production