Senior Leadership Technical Program Manager, Data Intelligence, Core Systems

About the role

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Responsibilities

• Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization.
• Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide (e.g., effective redeployment of machine and people resources leading to efficiency and utilization gains) (mapping to the concept of Resource Stewardship).
• Drive measurable program performance gains correlated to execution velocity. Establish governance over prioritization decisions to ensure alignment with key performance indicators.
• Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
• Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in program management.
• 7 years of experience in leadership role(s) with/without direct reports.
• Experience using statistical analysis and data analytics to solve product or operational problems.
• Experience driving initiatives and operational improvements to meet business objectives.