Senior Technical Program Manager – Data, Analytics & Infra

Google; Thornton (CO); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a Technical Program Manager to lead complex, cross-functional engineering projects across its Global Infrastructure Delivery organization. You will plan requirements with internal customers and shepherd projects through the full lifecycle, balancing technical trade-offs with executive communications.

You will oversee data engineering programs and teams, driving scalable data architectures, governance, and analytics to enable intense data-driven decisions at scale.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of leadership experience.
• Experience in data engineering, data warehousing, data analytics, BI, visualization, and Python/SQL.

Responsibilities

• Design, build, and optimize scalable data pipelines and a data model.
• Create and drive adoption of data governance policies for security, integrity and availability.
• Lead strategic initiatives to produce insights, improving cross-functional efficiency.
• Unify KPI definitions and standards, collaborating with internal teams on operational needs.
• Provide data engineering leadership and vendor management oversight.

Skills

Program management

Leadership

Data engineering

Data warehousing

SQL

Python

Data governance

Big data analytics

Networking

Data management

Education

Bachelor's degree in Information Systems

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics

Job description

Google is seeking a Technical Program Manager to lead complex, cross-functional engineering projects across its Global Infrastructure Delivery organization. You will plan requirements with internal customers and shepherd projects through the full lifecycle, balancing technical trade-offs with executive communications.

You will oversee data engineering programs and teams, driving scalable data architectures, governance, and analytics to enable intense data-driven decisions at scale.