refresh

트렌딩 기업

트렌딩 기업

채용

채용Google

Data Transformation Lead, Large Customer Sales, Financial Services

Google

Data Transformation Lead, Large Customer Sales, Financial Services

Google

·

On-site

·

Full-time

·

2w ago

About the job

Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.

As a Data Transformation Lead, you will be at the forefront of a major shift, helping some of the world's most innovative tech companies revolutionize their approach to marketing through the adoption of Artificial Intelligence (AI). You won't just be implementing solutions; you'll be shaping the future of marketing for these industry leaders.

You will partner with cross-functional teams, including sales, data science, and engineering, to drive the adoption of innovative AI-powered marketing strategies. You will act as a trusted advisor, translating client needs into technical roadmaps and ensuring successful implementation. You'll play a pivotal role in defining best practices and influencing the broader industry, making a real impact on the success of our clients and Google's growth. You'll also be responsible for fostering excellent relationships with C-level executives, guiding them through the implications of AI and data-driven marketing.

Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.

The US base salary range for this full-time position is $108,000-$154,000 + 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

  • Establish oneself as a trusted advisor and technical product seller who understands how durable measurement infrastructure strategy will help customers overcome unique industry and ecosystem issues; and can articulate deep product knowledge to support customer business objectives.

  • Identify, cultivate, and own marketing technology relationships within advertisers and agencies and develop executive business partnerships with customers and internal cross-functional teams.

  • Work cross-functionally with Sales, Product/Technical specialists, and Google partners to synthesize technical and business requirements into cohesive business cases.

  • Own the business cycle for key data and measurement capabilities and tech infrastructure to drive customer adoption and growth of Google’s solutions.

  • Triage for implementation effectively, acting as a liaison between partner teams to ensure project completion and ongoing value.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

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

Preferred qualifications

  • Experience working with Finance advertisers and agencies to identify technical issues and opportunities, promote advertising technology and marketing technology solutions, and lead project planning.

  • Experience working with Google products (e.g., Google Ads, Display and Video 360, Campaign Manager, Google Analytics, Ads Data Hub, or Google Cloud) and familiarity with big data and data warehouses (e.g., Demand-Side Platforms, Customer Data Platforms, or Data Management Platforms), as well as tag management systems and web analytics.

  • Ability to work effectively in environments with effective time-management and prioritization skills.

  • Excellent verbal and written presentation skills.

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