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트렌딩 기업

트렌딩 기업

채용

채용Google

Technical Program Manager, Data Analytics, Measured Work

Google

Technical Program Manager, Data Analytics, Measured Work

Google

·

On-site

·

Full-time

·

2w ago

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Measured Work functions as the binoculars for data center operations. Our mission is to obtain and interpret execution data, enabling the business to define goals and track organizational progress. We strive to answer critical questions. Can we standardize the duration for every activity on the data center floor. Can we predict headcount needs accurately. Can we define metrics that ensure visibility and accountability while promoting the adoption of best practices. We build tools that empower everyone from Vice Presidents (VPs) to technicians to interpret data for better decision-making.

As a Technical Program Manager, you will engineer systems to process, analyze, and interpret massive data sets, solving complex operational problems for Google’s cloud business. You will partner with customers to build tools that provide unparalleled insights into the data center floor.

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Responsibilities

  • Partner cross-functionally with geographically dispersed stakeholders, data engineers, and scientists to define and deploy actionable enterprise data management solutions.

  • Advocate a data-centric culture that embraces process excellence and leverages data-driven insights to achieve key business objectives.

  • Test the status quo by proactively identifying opportunities for innovation and implementing solutions based on data.

  • Promote clarity and focus to deliver consistent, incremental value to the organization while solving complex operational problems.

  • Drive best practices for both systems and processes to ensure data integrity, transparency, and an efficient user experience.

Minimum qualifications

  • Bachelor's degree in a technical field, or equivalent practical experience.

  • 2 years of experience in program management.

Preferred qualifications

  • 5 years of experience with technical program management in a data-related domain

  • Experience with SQL and Data Analytics.

  • Experience with Python and R.

  • Knowledge of Enterprise Resource Planning (ERP) systems/tools and supply chain analytics.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

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