Director, Data Strategy and Operations

Google Cloud’s mission is to provide organizations with the best infrastructure, platform, industry-specific solutions, and expertise for digital transformation. The Data organization is responsible for driving the global strategy, commercial model, and execution of Google Cloud's data strategy to accelerate customer acquisition, consumption, and long-term revenue growth.
Strategy and Operations (S&O) Directors architect the global operational blueprints and governance systems that enable Google Cloud to scale. Sitting at the intersection of strategic planning, operational architecture, and cross-entity execution, our S&O leadership team aligns multiple organizations across global footprints to turn executive priorities into repeatable, scale-first operating models.
As the Director of Data Strategy and Operations, you will be overseeing a multi-tiered global S&O organization across international hubs supporting Google Cloud’s data ecosystem.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $278000 - $387000 (USD) + 30% bonus target + equity + benefits
Learn more about
benefits at Google
.

Minimum qualifications
Bachelor's degree or equivalent practical experience.
15 years of experience in management consulting, sales or GTM strategy and operations, business strategy, or corporate advisory roles in the technology sector.
7 years of direct people leadership experience.
Experience functioning as a leader, scaling global capacity and operating models, and leading cross-functional governance in matrixed environments.
Experience owning enterprise operational systems of record, multi-year operational roadmaps, annual business planning, and operational budget and capacity allocation.
Experience as a manager of managers leading multi-tiered strategy and operations teams across global regions.

Preferred qualifications
MBA or advanced degree in a quantitative, business, or technical field.
Experience supporting or operating within enterprise cloud, data and analytics, database, or AI go-to-market organizations from a strategy, operations, or consulting lens.
Experience planning and managing at both the strategic and operational level in a complex, globally scaled product, specialist sales, and engineering environment.
Proven ability to structure complex, ambiguous business problems where no precedent exists—translating quantitative data and operational telemetry into clear executive recommendations and scalable processes.
Track record of systemic blueprinting—standardizing end-to-end GTM lifecycles, specialist capacity models, and executive governance across multi-billion-dollar enterprise organizations.

Responsibilities
Function as a strategic co-pilot directly to the data leadership team to architect long-term strategic blueprints, establish operational roadmaps, and resolve high-stakes executive escalations across business units.
Serve as a manager of a multi-tiered global Data S&O organization across international hubs, establishing organizational design standards, spans of control, and cross-regional talent development.
Own the global operational architecture, planning systems of record, and executive Rhythm of the Business (RoB) for the Data organization—standardizing engagement and forecasting lifecycles.
Hold operational budget, headcount, and capacity-planning accountability for the Data S&O footprint while leading global annual business planning, target setting, and specialist coverage and capacity frameworks with finance and central S&O.
Lead cross-functional governance across multi-VP organizations to arbitrate complex operational trade-offs and enforce standardized rules of engagement to unify data and AI GTM motions.