Financial Analyst, Machine Learning, Corporate Finance share Share Financial Analyst, Machine Learning, Corporate Finance link Copy link email Email a friend corporate_fare Google place Kirkland, WA, USA ; Sunnyvale, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply share Share Financial Analyst, Machine Learning, Corporate Finance link Copy link email Email a friend info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits:

401(k) with company match

Paid Time Off:

20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time:

40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave:

18 weeks

Holidays:

13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA .

Minimum qualifications:

Bachelor's degree in Business, Finance, Economics, Statistics, a quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function. Experience executing full-cycle FP&A functions, including budgeting, forecasting, variance analysis, and modeling.

Preferred qualifications:

Experience building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions. Experience developing strategies and making resource allocation decisions. Experience analyzing data to influence decision-making and generate business insights. Experience in project management and collaborating with cross-functional stakeholders. About the job In this role, your focus will be on understanding where and how Google should invest to support the impact of our growing AI/Machine Learning investments. You will represent the Corporate Finance team and collaborate with cross-functional and finance stakeholders. This is a unique opportunity to have an outsized impact in a highly visible and strategic area of the company. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:

$116000 - $166000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Responsibilities Own the governance of AI/ML compute portfolio data, reconciling financial and capacity numbers to maintain a single source of truth on corporate long-range plan financials. Transform unstructured data from Tensor Processing Unit (TPU) resource requests and financial impacts into standardized data visualizations, comprehensive reports, and executive dashboards. Perform financial analysis to understand product area business and machine resource needs, ensuring investment decisions align with strategic priorities. Partner cross-functionally with Product Area Finance, Technical Program Managers (TPMs), and central teams to drive consensus on allocation decisions, short- and long-term planning, and shared AI/ML objectives. Execute due diligence, automated chargeback processes, and portfolio operating rhythms to monitor performance against key performance indicators (KPIs). Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy . 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 . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form . 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.

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