Product Counsel, Data Strategy, DeepMind

The Google DeepMind Legal team is looking for an adept and enthusiastic product counsel to partner with the data engineering, product, and research teams to advise them on legal matters relevant to developing an exceptional data strategy.

Data strategy is a key component in developing the AI models, products, systems, and technology. You will be a business advisor who works with cross-functional teams to ensure we are prepared for forthcoming regulatory changes that might impact the data strategy. You will also collaborate closely with Google DeepMind compliance teams, other members of the legal team, Google Regulatory Affairs, and with outside counsel when needed.
You will be proactive, need exceptional communication skills, and know how to balance business demands (including legal, policy, technical, compliance, and cultural demands) to produce practical, solution-focused recommendations. You will do this while instilling trust in everyone you interact with.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $316000 - $352000 (USD) + 25% bonus target + bonus + equity + benefits
US: $344000 - $383000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Be the go-to counsel for the Data Engineering, Product and Research teams. Collaborate with Google cross-functional groups to support them.
  
• Become an expert on Google DeepMind data strategy, data governance, research, technology, and product needs. Anticipate and address regulatory, legal, policy, and other legal-adjacent risks that impact those needs.
  
• Collaborate with cross-functional teams, including Google Legal, Regulatory Affairs, Policy, and Compliance teams to propose, refine, and advance well-balanced regulatory and legal positions that take into account Google DeepMind data needs. Advise on the implications of those positions for Google DeepMind.
  
• Advise executive management on risks associated with the direction of data-related plans, and present options to mitigate or eliminate those risks.
  
• Advise technical executive management on how to translate and implement new and existing data regulations, commitments, and governance frameworks into actionable, technical requirements.
  

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