Data Transformation Lead, Specialty Retail

Key Skills

Big Data Technology, Data science techniques, DSPs, Google-Analytics, Sales

Job Description

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.

Preferred qualifications:

• Experience identifying how data infrastructures, promoting Advertising Technology and Marketing Technology solutions, can lead to business value.
• Experience in working with sales and cross-functional teams and influence executive stakeholders internally and externally across all levels.
• Experience with range of data transformation skills to plan and execute projects.
• Experience working with Google products (e.g., Google Ads, DV360, Campaign Manager, Google Analytics, Ads Data Hub or Google Cloud) or similar products.
• Experience with Big data and data warehouses (demand-side platforms (DSPs), customer data platforms (CDPs), and data management platforms (DMPs), targeting, etc.) tag management systems and web analytics.

About the job

We are the Specialty Retail Data, Measurement and Analytics team in the Large Customer Sales. Our team supports some of the largest retailers in the US in achieving their business and marketing objectives by providing them with data-driven analyses for decision-making.

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

• Understand the durable digital measurement infrastructure strategy and help customers evolve with industry and ecosystem to achieve customer business objectives.
• Identify, cultivate, and own marketing, data science and technology team relationships within advertisers and agency partners. Develop executive business partnerships with customers and internal cross-functional teams.
• Innovate alongside clients to derive increased value from current and potential data, looking at current and future business opportunities that data transformation can unlock.
• Work cross-functionally with Sales, Product/Technical specialists, and Google partners to synthesize technical business requirements into business cases.
• Own the business cycle to drive customer adoption and growth of Google’s solutions. Develop and manage a business pipeline for product adoption progress across the book of business.