Portfolio Risk Management Lead

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in technical program management.
• 5 years of experience managing a team of technical program managers.
• Experience developing and implementing quantitative risk management frameworks to measure and mitigate operational risks.

Preferred qualifications:

• Experience working with third party, contracted services.
• Experience in setting up (enterprise) risk management programs, risk modeling, operational resilience, and delivering risk management training.

About the job

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.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

The Google Data Centers team (GDC) designs, builds and operates many gigawatts of reliable, efficient, flexible data centers around the world.

Google's Data Center Operations (DCOps) team acts as the stewards of the physical infrastructure that powers the world’s information. We operate the mechanical, electrical, and control systems that keep our servers running 24/7/365.

As the Portfolio Risk Management Lead, you will be responsible for building and managing the risk profile across all of Google’s Data Center operating data centers. Your team will oversee the performance programs that drive third party risk reduction and capture Google's first party risk profile across each data center operation.

Your team will oversee the operational aspects of site selection within our third party space, collaborating with partner teams on the evaluation and escalation of risks associated with new data center sites.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

US: $240000 - $334000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization.
  
• 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.
  
• Lead managers and be responsible for both the team’s performance and its well-being, its execution against Key Performance Indicators (KPIs), and the career development of its constituents, its unfailing use of existing systems, and its cooperative participation in defining future systems and processes.