Senior Technical Program Manager, Data & Analytics

Google; Austin (TX); Hybrid; USD 192,000 - 278,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead complex data engineering initiatives across the Global Infrastructure Delivery team. You will design scalable data pipelines, govern data access, and drive analytics that inform strategic decisions.

You will collaborate with cross-functional partners, manage schedules, assess risks, and communicate trade-offs to executives while mentoring engineers and aligning stakeholders with our data architecture standards.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of leadership experience (with/without direct reports).

Responsibilities

• Design, build, and optimize scalable data pipelines and an industry-standard data model, while maintaining the existing data warehouse as a central repository for efficient data retrieval.
• Create and drive the adoption of robust data governance policies, ensuring data access, security, integrity, and high availability in alignment with corporate policy.
• Lead strategic initiatives and apply business knowledge to produce actionable insights, driving cross-functional solutions that reduce cycle times and increase operational efficiency year over year.
• Lead cross-functional stakeholders to drive consensus on data architecture standards and unify KPI and metric definitions, while collaborating with internal teams to advocate for operational needs.
• Provide data engineering leadership and coaching for partner teams, and drive the vendor management strategy, including agreement compliance, execution, and performance oversight.

Skills

Program management

Leadership

Education

Bachelor's degree, technical field

Job description

Google is seeking a Technical Program Manager to lead complex data engineering initiatives across the Global Infrastructure Delivery team. You will design scalable data pipelines, govern data access, and drive analytics that inform strategic decisions.

You will collaborate with cross-functional partners, manage schedules, assess risks, and communicate trade-offs to executives while mentoring engineers and aligning stakeholders with our data architecture standards.