Data Transformation Lead, Branded Apparel and Durables

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.

Preferred qualifications:

• 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
  
• Experience working closely with sales and cross-functional teams and influence key stakeholders (e.g., internally and externally) across all levels.
• Excellent written and verbal communication skills, with the ability to deliver simple and compelling stories.

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.

In this role, you will bring experience with Google’s solutions, driving innovation and strategic impact. You will also be responsible for stakeholder management, helping clients achieve their data and measurement objectives.

You will lead the business cycle for key AI features and data infrastructure capabilities, engaging C-level executives and Google teams to drive impactful data and technology transformations. You will coordinate with both internal and external resources to ensure the implementation of our solutions, while staying aligned with the customer’s Joint Business Plans (JBP). You will advocate the clients’ success, guiding them through their data journey toward meaningful outcomes.

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 $103,000-$148,000 + 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.

• Harness the power of data and insights, drive customer adoption of key AI features and drive data infrastructure transformation to unlock long-term growth, from initial understanding of industry specific tests to full implementation and engaged usage of Google's advanced products and solutions.
• Ensure customers maximize the value of our data integration and AI solutions by operationalizing solutions and leveraging advanced features.
• Be a retail industry expert, building strong relationships and educating stakeholders across Google, partners and clients.
• Become the go-to resource for durable data integration, reliable measurement and technology knowledge.