Google

Data Transformation Lead, Travel Vertical

Google • $108K — $154K *
Chicago, IL 60629In-Person
Media
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in media analytics, advertising sales, or digital marketing.
  • Willingness to travel up to 30% to work with regional partners.
  • Preferred experience in driving media investments for travel-related advertisers.
  • Familiarity with Google products and data management systems.
  • Strong communication skills for diverse audiences.

Responsibilities

  • Establish yourself as a trusted advisor in media measurement strategies.
  • Develop and nurture MarTech relationships with clients and agencies.
  • Collaborate with cross-functional teams to align technical and business needs.
  • Drive sales cycles for data and measurement capabilities to enhance customer outcomes.
  • Partner with sales teams to validate the impact of Google’s AI-driven media products.

Benefits

  • Access to advanced tools and technologies in advertising and media.
  • Opportunities for professional development and learning.
  • A collaborative work environment with cross-functional teamwork.
  • Travel opportunities to engage with partners regionally.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
  • Ability to travel up to 30% of time to collaborate with regional teams/partners.

Preferred qualifications:
  • Experience driving media investment for travel agencies and advertisers by identifying technical challenges, selling AdTech/MarTech solutions, and leading project execution.
  • Experience in working with the Google products (e.g., Google Ads, DV360, Campaign Manager, Google Analytics, Ads Data Hub or Google Cloud) and familiar with big data and data warehouses (e.g., DSPs, CDPs, DMPs, targeting, etc.) as well as tag management systems and web analytics.
  • Ability to work effectively in fast-paced environments with effective time-management and prioritization skills.
  • Strong written and verbal communication skills with comfort delivering simple and compelling stories to audiences of all levels.


Responsibilities
  • Establish yourself as a trusted advisor and technical product seller who understands how durable measurement infrastructure strategy will help customers overcome unique industry and ecosystem challenges; and can articulate deep product knowledge to support customer business objectives.
  • Identify, cultivate, and own MarTech relationships within advertisers and agencies.
  • Work cross functionally with Sales, Product/Technical specialists, and Google partners to synthesize technical and strategic business requirements into cohesive business cases.
  • Own the sales cycle for key data and measurement capabilities and tech infrastructure to drive customer adoption and growth of Google's solutions. Develop and manage a sales pipeline for product adoption progress across the book of business.
  • Partner with sales teams after implementing AI first data infrastructure products, to measure and prove the value of Google media using this infrastructure.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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