Technical Program Manager, AI Privacy Consulting and Governance

4 Days ago • 2 Years + • Artificial Intelligence

About the job

SummaryBy Outscal

Must have:
  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related field or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience working with technical teams such as Engineering, Core Infrastructure, and Corporate Engineering.
  • Excellent communication and collaboration skills.
Good to have:
  • Experience in program management with the ability to learn and understand technical domains in order to provide privacy consulting and guidance to engineering teams.
  • Knowledge and experience in the development of ML models and applications.
  • Knowledge of privacy principles, and a passion for keeping people and data safe.
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Minimum qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related field or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience working with technical teams such as Engineering, Core Infrastructure, and Corporate Engineering.

Preferred qualifications:

  • Experience in program management with the ability to learn and understand technical domains in order to provide privacy consulting and guidance to engineering teams.
  • Knowledge and experience in the development of ML models and applications.
  • Knowledge of privacy principles, and a passion for keeping people and data safe.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally on technical projects and consultations.

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.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

In this role, you will manage risk postures and compliance objectives, risks about the use of data, products, and software systems within Google. You will ensure that systems, products, and data are managed to keep the trust and safety of users, third parties, and employees.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Conduct privacy impact assessments and drive privacy outcomes for AI datasets, models, products, and features, while cultivating relationships with product teams across Google, and helping them identify and address AI privacy issues in proposed design or implementation.
  • Escalate AI risks to central and product leadership forums as needed.
  • Work with Privacy Engineers to design and develop technical documentation across teams to drive consistent privacy decisions within the AI domain, and develop rubrics to measure and track performance, progress, success, and risk metrics related to Generative AI.
  • Navigate multiple work-streams, functional and technical concepts, and conversations with stakeholders to ensure AI and Generative AI privacy requirements are met.
  • Lead across systems, products, and teams in order to duplicate and scale AI privacy governance solutions across Google.
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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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