Strategy and Operations Principal Lead, Global Partnerships, Third-Party Data and DeepMind

Strategy and Operations Principal Lead, Global Partnerships, Third-Party Data and DeepMind

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Google

place

New York, NY, USA

; Chicago, IL, USA

; +3 more

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Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.

8 years of experience in a management consulting, sales operations, business strategy or corporate advisory role.

Preferred qualifications:

MBA or graduate degree.

Proven track record of leading large, complex strategic projects or 0-1 programs and delivering end-to-end outcomes.

Experience creating strategic initiatives across various verticals (e.g., Legal, Finance, STEM, Health, Education, and M&E).

Experience structuring complex commercial agreements, managing go-to-market performance programs, or driving cross-functional strategic initiatives.

Experience working with AI/agentic data or Labs.

Advanced investigative and problem-solving skills, including the ability to navigate ambiguity and design creative solutions to complex challenges.

About the job

The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

Google is investing heavily in third-party (3P) data acquisition to power our next-generation AI models, grounding surfaces, and agentic experiences. To turn 3P data acquisition into a durable competitive advantage, we are standing up a small, highly strategic team of 3P Data Strategy Industry Analysts within Partnerships Solutions.

The team’s mission is to architect Google’s cross-Product Area vertical data strategies to reach the data frontier - synthesizing domain expertise into clear priorities that empower business development (BD) teams to execute.

The team’s mission is to architect Google’s cross-Product Area vertical data strategies to reach the data frontier - synthesizing domain expertise into clear priorities that empower BD teams to execute.

In this role, you will be the core strategic architect responsible for creating end-to-end 3P data strategies for select priority verticals (e.g., Legal, Finance, STEM, Health, Education, and M&E).

The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products.

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

US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Act as the primary strategic owner for the 3P Data Frontier Strategy within your assigned verticals. Define data acquisition priorities across model training (pre-training/post-training), search grounding, and agentic workflows.

Partner closely with DeepMind and Business Development teams to collaboratively translate vertical strategies into actionable regional execution plans and agreement proposals.

Monitor external market dynamics, licensing agreement structures, and competitor landscapes. Conduct deep-dives to identify gaps, track content usage, and formulate strategies.

Partner with Product and Research teams to ensure the quality and utility of inbound third-party data. Drive post-agreement assessments and evaluate the return on investment (ROI) of data acquisition economics and model improvements.

Work towards joint objective and key results (OKRs) centered around acquiring text, multimodal, and post-training data in high-value, data-limited categories.