Senior Technical Program Manager 2 - AI/ML, Transformation

• Set program vision and direction, working with cross-functional stakeholders to outline goals and objectives.
• Drive the planning and implementation of strategic and transformational programs, working closely with leads and stakeholders across multiple functions. Establish goals, schedule and milestones. Proactively manage dependencies and anticipate/resolve execution issues.
• Be the trusted owner of the status of your projects/programs. Drive visibility on progress, dependencies, risks, and issues to executives and other stakeholders.
• Manage communication of progress/status with customer groups in various locations and time zones. Own and nurture relationships between cross-functional teams.
• Leverage your domain expertise, program management experience and leadership skills to help the team improve processes, accelerate program execution, and drive better quality, productivity and efficiency across the portfolio.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 10 years of experience in program management.
  
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.

Preferred qualifications:

• 10 years of experience managing complex cross-functional or cross-team projects.
• 10 years of experience in product development, engineering/technical program management, consulting, or a similar role in the technology industry managing complex, cross-functional programs spanning a wide set of stakeholders.
• Experience in leading transformation initiatives with a background in operations/supply chain or management consulting.
• Exceptional skills influencing, team building, and delivering solutions in a highly complex, always changing, and nebulous environment.

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.

In this role, you will join the AI and Infrastructure Programs team to drive large scale transformation across the organization. You will mobilize cross-functional teams, deliver solutions for scale, and drive data-driven decision making to deliver a sustainable program that supports and accelerates the transformation of the AI and Infrastructure organization. Your passion, technical and business depth, and excellent organizational, communication skills will inspire our teams and rapidly establish trust amongst a set of stakeholders and customers.

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.

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 10 years of experience in program management.
  
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.