Technical Program Manager, Construction technology and Data Lead

Technical Program Manager, Construction technology and Data Lead

_corporate_fare_ Google _place_ Sunnyvale, CA, USA;
Atlanta, GA, USA; +5 more; +4 more

** Advanced*
* Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

+ 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

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

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 Master Format or Uni Format classifications).

*
* Preferred qualifications:

*
* + 8 years of experience managing cross-functional or cross-team projects.

+

Experience with Architecture, Engineering, and Construction (AEC) tooling execution, including scaling construction tooling and data consistency across design and construction on large-scale projects.

+

Experience with programming languages such as Python, Java, or Scala, including a solid grasp of data structures, algorithms, and object-oriented programming (OOP).

+

Experience with SQL and direct relational or dimensional schema design (e.g., Star schema, Snowflake).

+ Experience or interest in leveraging AI models, Large Language Models (LLMs), and automation extensions to streamline operational workflows.

+ Knowledge of Autodesk Revit, Navisworks Manage, CAD, and Autodesk Construction Cloud.

** 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google () .

** Responsibilities*
* + Lead designs, builds, and optimizes automated ETL and ELT pipelines to seamlessly move batch and real-time streaming data from disparate sources into centralized repositories.

+ Structure and maintain cloud data warehouses and lake houses, designing efficient schemas that optimize query performance while minimizing storage costs.

+ Ensure data trustworthiness, they implement automated validation checks that scrub corrupt data and enforce strict governance, security encryption, and access controls.

+ Utilize workflow orchestration platforms like Apache Airflow to manage complex dependencies and deploy proactive monitoring tools to catch and recover from pipeline failures.

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