Senior Technical Program Manager, AI Risk Governance Lead

1 Month ago • 8-12 Years • Artificial Intelligence • $183,000 PA - $271,000 PA

Job Summary

Job Description

As a Senior Technical Program Manager, AI Risk Governance Lead at Google, you will lead complex, multi-disciplinary projects related to AI deployment at scale. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate effectively across teams. Responsibilities include implementing communication standards, establishing program review cadences, leading governance structures for effective decision-making, identifying change management opportunities, and defining/managing a program portfolio to maximize business impact. This role is crucial for building trust and ensuring compliance in enterprise AI adoption. You'll need strong technical expertise, program management skills, and a deep understanding of AI risk and governance.
Must have:
  • Bachelor's degree in technical field or equivalent experience
  • 8+ years program management experience
  • 3+ years risk & governance experience
  • 2+ years AI experience
  • Lead governance, drive decision-making
  • Manage program portfolio, high business impact
Good to have:
  • 8+ years managing cross-functional projects
  • Experience with AI products, models, platforms
  • SDLC methodology knowledge
  • Cloud product knowledge
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • 3 years of experience in risks and governance principles.
  • 2 years of experience in Artificial Intelligence.

Preferred qualifications:

  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience with AI products, models, and platforms.
  • Experience with software development lifecycle (SDLC) methodologies.
  • Knowledge of Cloud products.

About the job

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.

Cloud is at the forefront of bringing AI technology to enterprise customers around the world, this role will help shape how AI is deployed at scale. This position will be integral to building trust and ensuring compliance for enterprise AI adoption.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Implement communications standards across a portfolio of programs including executive and key partner communications. 
  • Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and Resource Stewardship (effective deployment of machine and people resources) whereby improvements such as efficiency and utilization gains are measurable and the impact can be felt organization wide. 
  • Lead a governance structure that drives effective executive decision-making. Ensure governance structure effectively exposes and mitigates dependencies. 
  • Seek out and identify change management opportunities that increase program velocity and which affect multiple teams. 
  • Define/manage a program portfolio solving problems that target high business impact for the organization and product area.

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