- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in Construction Management, Civil Engineering, Architectural Engineering, Data Analytics, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with Building Information Modeling (BIM) and Virtual Design and Construction (VDC) tools (e.g., Autodesk Revit, Navisworks Manage, CAD, Autodesk Construction Cloud, estimation software, or production planning tools).
- Experience with data analysis and visualization using Business Intelligence (BI) tools (e.g., Power BI, Tableau, or similar).
- Experience with Architecture, Engineering, and Construction (AEC) data standards (e.g., WBS MasterFormat or UniFormat classifications).
Preferred qualifications:
- 3 years of experience in construction tooling execution.
- Experience in SQL (window functions, query optimization) and relational/dimensional schema design.
- Interest or experience in leveraging AI models, LLMs, and automation extensions (Jetski, Gemini) to streamline operational workflows.
- Understanding of Python or Java/Scala, with grasp of data architecture.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As Digital Execution and data Lead, you will drive scaling of construction technology and site reality capture tools to establish field-friendly workflows and maximize platform adoption. You will lead 3D model audits alongside 4D scheduling and 5D cost integrations to mitigate design risks, track progress, and eliminate rework, standardize data architecture, COBie taxonomies, and model parameters to convert raw Building Information Modeling (BIM) elements into structured operational data for final handover. You will integrate cloud systems across project management, ERP, and scheduling software to build automated dashboards for key performance metrics. You will establish team governance and pilot emerging solutions, such as AI-driven site tracking, to continuously optimize project delivery.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead Construction Technology (ConTech) deployment, translating capabilities into practical workflows (ACC, Procore, P6). Train teams on digital platforms like 3D BIM.
- Integrate Project Management Tools (PMT), Enterprise Resource Planning (ERP), and document systems for seamless data flow. Link 3D models to schedules for 4D/5D sequencing and cost estimation. Execute reality capture (drones, 3D scanners) to track site progress and tolerances.
- Establish data architecture and asset taxonomy to convert CAD/BIM objects into structured data for Digital Twin handovers.
- Build automated BI dashboards (Power BI, Tableau) to track core VDC metrics. Oversee cloud platform data syncs via custom APIs.
- Drive continuous improvement by coaching stakeholders on digital field tools. Research and pilot emerging AEC technologies, including AI-driven site tracking, to optimize project delivery.
