• Data Engineering Product and Project Manager

    Tutor Perini (Menlo Park, CA)


    Expected annual salary range for this job is $120,000 - $130,000 depending on experience

     

    Rudolph & Sletten, a Tutor Perini Company, is seeking a **Data Engineering Product and Project Manager** to join our office in Menlo Park, CA.

    About Rudolph & Sletten:

    In the last six decades, Rudolph and Sletten has built thousands of projects across our five California offices, from research centers designed to cure _diseases_ to institutions that educate future generations to civic facilities and high-tech campuses that move our state forward.

     

    Just like the buildings we construct, our reputation is built to stand the test of time. Our success is due to our diverse, talented personnel, technological expertise, honest estimates, innovative schedules, and ethical business practices.

     

    We're excited to see where the future takes us. Between new building and construction technology, better earth-friendly materials and techniques, all our phenomenal employees, and the amazing people we work with, we’re looking forward to building more award-winning projects for decades to come.

     

    Our client focus and technical expertise have made us a builder of choice for clients for over 6 decades. Notable clients include Johnson and Johnson, Gilead, Salk Institute, Western Digital, Oracle, Seagate, Intuit, San Diego Symphony, Kaiser Permanente, Cedars-Sinai, the Judicial Council of California, and UC and CSU higher education systems.

     

    At Rudolph & Sletten you will have the opportunity to work on a variety of large, high-profile, projects that impact your community.

     

    _Extraordinary Projects need Exceptional Talent… Let’s Build_

    DESCRIPTION:

    Role Overview

     

    This role will serve as a dual position of product manager and project manager for R&S and TPC’s respective emerging AI and automation initiatives. The position will focus on two major areas:

     

    1. Agentic & Generative AI at R&S – Identifying, prototyping, and driving adoption of workflow automations and generative AI tools to support construction operations, and

    2. Enterprise Data & AI Initiatives at TPC – Coordinating and supporting enterprise projects such as the CR-1 automation effort, ensuring alignment of R&S needs with TPC’s Fabric-based data strategy.

     

    The AI Product & Project Manager will act as a translator between business needs and technical execution, ensuring that tools are not only developed but adopted, scaled, and measured for impact.

    Key Responsibilities

    Project Management (TPC-Focused, ~50–75%)

     

    - Coordinate the CR-1 automation initiative and related Fabric-based data projects.

     

    - Serve as the liaison between R&S and other BU teams, TPC data engineers/consultants, and Procore Committee.

     

    - Define project scope, timelines, deliverables, and adoption strategies.

     

    - Track milestones, risks, and governance checkpoints under the SPIRE framework.

     

    - Support training, rollout, and change management across business units.

     

    AI Product Management (R&S-Focused, ~25–50%)

     

    - Identify and prioritize opportunities for AI-driven automation and data chat tools.

     

    - Build and test proofs-of-concept using Copilot Studio, Power Automate, Fabric, and related platforms.

     

    - Evaluate external vendor solutions and integrate them as needed.

     

    - Partner with internal data analysts to align automations with certified data schemas.

     

    - Define and measure success metrics (time savings, cost avoidance, adoption rates).

     

    Stakeholder Engagement

     

    - Collaborate with internal teams (IT/IS, Accounting, PM, Scheduling, VDC, HR, C-Suite).

     

    - Engage external stakeholders (clients, construction managers, subcontractors, vendors).

     

    - Ensure developed tools/workflows respect governance, security, and data permissions.

    Required Skills & Experience

    - Strong background in project management (tech, data, or construction-related projects).

     

    - Familiarity with AI/automation platforms (e.g., Microsoft Copilot Studio, Power Automate, Fabric).

     

    - Ability to translate business requirements into technical asks and vice versa.

     

    - Skilled at stakeholder alignment, communication, and adoption strategies.

     

    - Comfortable operating in a matrixed environment with both local and enterprise-level initiatives.

     

    - Prior experience in construction technology, data workflows, or process automation is a plus.

     

    Success Measures

     

    - Successful coordination of CR-1 automation milestones (on time, within scope).

     

    - Delivery of at least two high-value R&S AI/automation POCs within first year.

     

    - Documented adoption and measurable impact of deployed workflows.

     

    - Positive feedback from both TPC CDO team and R&S leadership.

     

    _Rudolph & Sletten_** **_builds extraordinary projects with exceptional talent. Join us and together we will build the future_

     

    Equal Opportunity Employer