Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, or consulting, or 5 years with an advanced degree.
  

Preferred qualifications:

• Experience working with Agencies and Partners or Clients to identify business challenges and opportunities, develop successful partnership plans, and lead solutions development processes.
  
• Experience working with sales and cross-functional teams and influence key, senior stakeholders (internally and externally) across all levels.
  
• Experience in working with adtech and familiar with big data and data warehouses.
  
• Ability to work in a fluid environment with effective time-management and prioritization skills.
  

Summary

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, or consulting, or 5 years with an advanced degree.
  

Description

Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the direction and the strategy for how their advertising can reach thousands of users.

As a Data Transformation Lead (DTL), you will be accountable for measurement solution design and delivering client commitment for key data integration capabilities by owning the measurement narrative with clients at all levels. You will establish modern measurement foundations that will ultimately drive better media outcomes and accelerate AI Innovation through follow-on projects such as lead scoring and predictive Lifetime Value. You will drive executive influence by articulating the business value of durable measurement and coordinate the efforts of external and internal resources to accelerate infrastructure implementation.

Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
The US base salary range for this full-time position is $114,000-$169,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Lead the business cycle for prioritized data and measurement opportunities across all buying doors (Google Ads and Google Marketing Platform products) to drive product adoption and business growth.
  
• Orchestrate advanced usage and innovation through agencies for customers using Google's ads and measurement products and platforms.
• Serve as the primary point-of-contact on Data Transformation solutions for your Agencies. Educate relevant stakeholders and build relationships using subject-matter-expertise to drive Agency and customer business objectives.
• Drive AI Innovation with Agency and establish oneself as a trusted tech advisor and develop senior business partnerships with strategic customers and internal cross-functional teams.
• Bridge together Google Ads and Clouds team to build future forward data and tech solutions with agencies.