Data Transformation Lead, TechB2B
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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 modeling, or 6 years with an advanced degree.
Preferred qualifications:
- Experience with marketing analytics, third-party analytics platforms, web analytics (Adobe/GA4).
- Experience in a client-facing role, with the ability to navigate complex customer organizations influence across levels from day-to-day to c-suite.
- Experience in working with adtech products (e.g. Demand-Side Platforms, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, Data Management Platforms, Customer Data Platforms.
- Ability to work closely with cross-functional teams (including product, data science, and engineering) and to influence executive stakeholders.
- Excellent written and verbal communication skills, with the ability to present technical information to both technical and 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.
As a Data Transformation Lead focused on Google’s clients in the TechB2B vertical, you will be at the forefront of a major shift, helping some of the world's most innovative tech companies revolutionize their approach to marketing through the strategic adoption of AI. You will partner with cross-functional teams, including product, data science, and engineering to drive the adoption of innovative AI-powered measurement solutions. You will act as a trusted advisor, translating client needs into measurement roadmaps, and ensuring successful adoption. You are a problem solver and rely on your deep expertise of marketing technology, media strategy, and analytics. You have a strong entrepreneurial spirit and take ownership to solve the most cutting edge challenges facing large advertisers today. You will also be responsible for fostering strong relationships with C-level executives, guiding them through the strategic implications of AI and data-driven marketing.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $124000 - $180000 (USD) + 60% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and advocate for AI-driven marketing strategies, creating goals for how Google's solutions address client issues and unlock growth. Influence executive stakeholders to adopt these strategies, demonstrating an understanding of their business and their propensity to adopt new AI solutions.
- Act as a key advisor on data and measurement; translating complex concepts into clear stories for business stakeholders. Drive the delivery and activation of AI solutions, collaborating with partners, ensuring alignment with client goals, articulating and quantifying the value and impact of investments in this area.
- Analyze internal and external data to quantify opportunities, anticipate risks, develop solutions to customer challenges, and measure success.
- Collaborate across teams innovating, to activate full measurement and attribution product capabilities for customers, and develop scalable solutions to industry challenges.
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