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Google
Google

Organizing the world's information and making it universally accessible.

Finance Manager, AI/ML Finance

직무머신러닝
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게시1개월 전
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About the job

Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.

As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.

The Cloud Finance BI team supports the broader Cloud Finance organization and Cloud senior leadership. The team owns the financial analytics and automation roadmap and works with Finance and Engineering partners to build stable reporting, forecasting, simulation and modeling assets. Our goal is to enable decision intelligence while reducing the reporting burden on analysts.

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.

The US base salary range for this full-time position is $171,000-$248,000 + 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

  • Develop a deep understanding of Google’s technical infrastructure and economics behind the significant investments needed to support AI/ML demand and drive long-range planning.

  • Perform benchmark analysis and end-to-end operational assessments to identify efficiency opportunities.

  • Structure and execute insightful analysis on investment recommendations; communicate findings and guide senior management decision making.

  • Help develop and implement processes, tools and governance to drive ML analytics with consistency across TI Finance.

  • Cultivate strong relationships and collaboration across numerous touch points with Alphabet leadership, TI Finance leadership, cross-functional finance, and systems and engineering teams.

Minimum qualifications

  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

  • 10 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.

Preferred qualifications

  • Experience building systems, processes, and governance.

  • Knowledge of the ML infrastructure, current landscape, and strategic priorities.

  • Ability to present complicated analysis, logic, and solutions in a clear and concise manner.

  • Ability to partner with cross-functional stakeholders and help influence decisions.

  • Ability to independently generate and drive initiatives to improve efficiency.

  • Strong problem solving, analytical skills, and business judgment to drive recommendations for ML investments.

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전체 지원 클릭

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전체 Mock Apply

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전체 스크랩

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Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense