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职位Google

Principal Data Transformation Lead, Independent Agencies, LCS

Google

Principal Data Transformation Lead, Independent Agencies, LCS

Google

·

On-site

·

Full-time

·

1w ago

  • Partner with Agency leaders to build a visionary, long-term roadmap for advancing their Google ads data and measurement infrastructure.

  • Lead the business cycle for prioritized data and AI-powered Ads opportunities across all buying doors (Google Ads and GMP products) to drive product adoption and business growth.

  • Pitch and sell the value proposition of data and measurement infrastructure, securing Agency/client commitment on the requirements to scale.

  • Serve as the internal bridge between Google Ads and Google Cloud teams to build future-forward data and tech solutions with Agencies.

  • Own the Agency Education and scale foundational and infrastructure work, including driving the adoption of foundational infrastructure (e.g., GA4 SoT, Enhanced Conversions (EC), and GMP bidding signals. ) where the agency is involved.

  • Bachelor's degree or equivalent practical experience.

  • 11 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field.

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense