Product Strategy and Analytics Principal, Google Cloud

Product Strategy and Analytics Principal, Google Cloud Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA. Bachelor's degree or equivalent practical experience. 11 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with and analyzing data, and managing multiple cross‑functional programs or projects. Preferred qualifications: MBA, or an advanced degree in a Management, Technical or Engineering field. 6 years of experience in finance/investment banking, business analytics, strategy and operations, management consulting, or product management. Experience with product/technology working for, or with, enterprise tech companies or cloud service providers. Knowledge of SQL, with advanced financial modeling and problem‑solving skills. Ability to build and deliver presentations and build partnerships with executive leaders and their teams across Google. Excellent business judgment, strategic thinking and written and verbal communication skills, as you will interact with various people, job functions, and levels, and attention to detail. About the job Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross‑cut our existing organizations and deliver high‑impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. In this role, you will have the responsibility for the Product Areas (PA’s) data analytics charter, from setting the goals, developing the data‑architecture and deriving insights from the data and presenting those to executive leadership to inform decision making. You will take a data‑driven approach to identifying product trends and business performance and will partner with them on building business plans, product strategies, new product or market entry business cases, etc. You will be the thought leader on embedding AI agents to surface insights on the business. 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 $171,000-$254,000 + 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 benefits at Google. Responsibilities Lead data‑driven projects and analysis that help executive leadership make decisions on AI growth/ investments, product strategy, pricing, capacity, etc. Analyze business performance and develop insights on not only historical trends but also where the business is going in the future. Develop customer segmentation, workload attribution and predictive models for AI customer targeting, growth and attach rates. Provide insightful and data‑driven recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment. Lead the data automation charter to make metrics, and KPIs easily accessible at scale to the Storage Program Management team, and lead quarterly data enablement with them. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. 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