AI Enablement Lead

Bechtel Corporation•,

About The Position

The AI Enablement Lead drives adoption and scaled delivery of artificial intelligence capabilities across Bechtel Manufacturing & Technology (M&T). Based within Digital Solutions, this role coordinates AI enablement to ensure initiatives are aligned, governed, and delivering measurable value across projects and functions. The position owns AI portfolio intake and prioritization, leads controlled development of AI solutions—including agents, low-code/no-code applications, and lightweight models—and works across teams to identify high-value use cases and reduce duplication. It maintains visibility of AI activity across the business unit and partners with internal teams and external vendors to accelerate adoption. Working alongside the Digital Solutions Data Architecture and AI team, the AI Enablement Lead helps maintain and deploy a robust AI portfolio. The role scales AI from isolated pilots into repeatable, enterprise-ready solutions, supporting consistent delivery, value tracking, and alignment with business priorities. It also supports data governance, reporting, analytics, and other information management and digital enablement activities as needed.

Requirements

Bachelor's degree or international equivalent and 10–13 years of relevant experience, or 14–17 years of relevant work experience.
Proven experience in AI, digital enablement, analytics, or project delivery environments.
Significant experience in engineering, construction, or project delivery, with a demonstrated drive for continuous improvement, systems-based approaches, and digital enablement.
Experience managing pipelines, portfolios, pilots, or proof-of-concepts, including capturing value, ROI, white papers, and lessons learned.
Experience with Design Thinking, Lean, or Continuous Improvement methodologies.
Strong understanding of project workflows across design, construction, project controls, and handover processes.
Ability to lead cross-functional initiatives, influence stakeholders, and drive measurable change across multiple projects simultaneously.
Excellent oral, visual, and written communication skills, including presenting complex concepts to technical and non-technical audiences.
Ability to manage multiple priorities, adapt to evolving needs, and work across diverse geographic regions and business lines.
Experience facilitating workshops, meetings, or ideation sessions and ensuring follow-through on decisions and actions.
Ability to deliver autonomously to stakeholders in a fast-paced environment.
High attention to detail and ability to ask clarifying questions to ensure technical and commercial requirements are accurate.
Business acumen and strong communication skills to work effectively with all organizational levels and external entities.
Experience setting and managing formal estimates, budgets, or staffing plans.
Curiosity, self-learning, and complex problem-solving skills.

Responsibilities

Lead intake, evaluation, and prioritization of AI initiatives across the GBU, aligned with business and project priorities.
Work with the Data Architecture and AI team to assess use cases, determine build requirements, apply prioritization, and assign resources.
Maintain a centralized view of AI initiatives to provide visibility, coordination, and governance.
Define and track value realization metrics, such as efficiency, cost savings, and cycle-time improvements.
Partner with project teams and functional stakeholders to understand business challenges and identify practical, value-driven AI use cases.
Deliver AI solutions in a controlled and scalable manner, including AI agents and copilots, low-code/no-code applications, automation, and lightweight models.
Promote reuse of solutions across projects and functions, identifying overlapping needs and shared opportunities to reduce duplication and maximize value.
Develop and deliver guidance, best practices, and training to support broader AI adoption.
Build internal capability for low-code/no-code and AI solution development.
Enable and drive adoption of data governance best practices with the business.
Support information management and digital enablement activities within the GBU, including data governance, reporting, and analytics initiatives.
Contribute to cross-functional Digital Solutions priorities and align AI initiatives with the broader data and information strategy.
Perform other responsibilities aligned with Digital Solutions team needs and evolving business priorities.