AI and Data Science Lead

Requisition ID: 282857 

•  Relocation Authorized: None 
• Telework Type: Part-Time Telework 
• Work Location: Reston, VA 

Extraordinary teams building inspiring projects:

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. 

Job Summary:

The AI and Data Science Lead will be responsible for developing and implementing a unified data platform to centralize and manage all Project Management Information System (PMIS) data as well as productize it for quick deployment on projects globally. This role will also explore, test, and implement agentic AI solutions from SaaS vendors to enhance decision-making, automation, and project efficiency. The successful candidate will play a critical role in ensuring seamless data interoperability, visualization, and AI-driven insights for construction project management. #LI-VB1

Major Responsibilities:

• Define and guide the strategy for AI implementation within the Infrastructure Global Business Unit, including developing a team for supporting a multi-year initiative.
• Lead the design, development, and deployment of a unified data platform for PMIS data storage and accessibility.
• Develop and implement statistical models and algorithms to analyze large datasets and derive actionable insights.
• Design, build, and deploy machine learning models to solve complex business problems.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Create interactive dashboards and visualizations to communicate findings to stakeholders.
• Refine the organization's data analytics strategy and AI roadmap to enhance digital transformation efforts
• Evaluate, test, and recommend agentic AI solutions from SaaS vendors to drive automation, predictive analytics, and operational efficiencies.
• Collaborate with cross-functional teams such as Engineering, Procurement, Project Controls, Construction, HR and other functions to understand and standardize data requirements and create solutions.
• Implement data integration strategies to connect various PMIS tools such as Oracle Aconex, Unifier, Primavera P6,  Autodesk Construction Cloud, and other enterprise systems.
• Lead enterprise Business Intelligence (BI) reporting efforts, translating analytical findings into actionable narratives using tools like Power BI, Microsoft Fabric, and SQL-based solutions.
• Work closely with stakeholders to identify AI use cases, conduct feasibility assessments, and drive AI adoption across project workflows.
• Ensure data governance, security, and compliance while managing access control for various project stakeholders.
• Provide training, support, and documentation for digital tools, AI applications, and data analytics platforms.
• Conduct User Acceptance Testing (UAT) for new AI solutions and process enhancements to optimize efficiency.
• Collaborate with IT and Information Security teams to ensure the robustness and security of data platforms and AI implementations.
• Regularly engage with end-users and stakeholders to gather feedback and implement improvements in data analytics and AI solutions.
• Present solutions and executive-level summaries to both internal and external leadership.

Education and Experience Requirements:

• Bachelor’s or Master’s degree in data science, Computer Science, Engineering, Construction Management, or related field.
• 9+ years of experience in data analytics, AI

Required Knowledge, Skills, and Abilities:

• Proven experience in developing and managing data platforms
• Strong expertise in Azure Data services toolset. DataBricks also, preferable.
• Familiarity with AI/ML applications in construction, predictive analytics, and automation solutions.
• Experience working with Microsoft Power Platform (PowerApps, Power Automate, Power BI) and Fabric.
• Understanding of data governance, security, and compliance standards.
• Strong problem-solving skills with a proactive and innovative mindset.
• Excellent communication and stakeholder management skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Experience implementing AI-driven solutions in the construction industry

Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards

Diverse teams build the extraordinary:

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com