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Open nowFirst seen 35 hours ago

Data Transformation Lead, GCAS (Japanese, English)

Google3,434 open roles

Where
Tokyo, Japan
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Your applicationOpen nowData Transformation Lead, GCAS (Japanese, English)Google · Tokyo, Japan

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 28 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: first seen 35 hours ago

Google median: 28 days open

The posting

Google welcomes people with disabilities.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
  • Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.

Preferred qualifications:

  • Experience in the automotive sector, managing account transitions and delivering complex digital projects for global clients.
  • Experience collaborating with cross-functional teams such as gTech and Cloud to drive business outcomes and remove roadblocks.
  • Deep technical expertise in architecting AI-driven data roadmaps and implementing Google's measurement suite (GA4, EC, GTG).
  • Proven ability to build and maintain value-centric partnerships with C-level stakeholders, driving trust through deep measurement knowledge.
  • Exceptional communication skills, with the ability to translate complex AI and data frameworks into actionable business strategies for non-technical audiences.

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.

Global marketing done right is becoming more challenging due to fast-changing consumer expectations, changes in individual market landscapes, and the rate of technological change. At its core, Global Clients and Agency Solutions (GCAS) helps leading brands, trade bodies and marketing partners navigate this complexity so that they can continue to be the market makers who positively shape our industry. Everyday, we help our partners fully utilize Google’s products, talent and insights to advance their marketing performance and the advertising ecosystem at large. Whether through building stronger tech and media foundations, surfacing cutting edge insights or structuring industry dialogue, GCAS helps shape what’s next into now.

Responsibilities

  • Drive high adoption of foundational data platforms including GA4, Enhanced Conversions (EC), and Google Tag Gateway (GTG) for global automotive clients.
  • Establish and execute a long-term data strategy and roadmap, ensuring strong data quality through 1PD activation methods such as VBB, Customer Match, and Store Visits.
  • Position Google as a partner of choice for AI transformation, collaborating with Analytical Leads to prove the impact of AI on creative, media, and measurement outcomes.
  • Act as a key technical advisor to business stakeholders, translating complex concepts into clear stories to influence executive sponsors and drive value-centric partnerships.
  • Partner with sales, gTech, and product teams to identify opportunities, remove roadblocks, and modernize data infrastructure for advanced AI solutions.
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