Data Transformation Lead, Large Customer Sales, Landmark

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field.
• Experience in leading projects, including planning, execution, and delivery.
• Ability to travel for client meetings and training, as needed.

Preferred qualifications:

• Experience in client-facing project management roles, delivering high-profile projects.
• Experience in working with adtech products (e.g., DSPs, Google Analytics, Google Cloud, Tag Manager) and with data warehouses, DMPs, CDPs.
• Ability to build and maintain relationships with executive-level stakeholders.
• Ability to create goals for clients, aligning client business goals with AI-powered technical solutions.
• Ability to work closely with cross-functional teams (including sales, 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.

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.

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 $118,000-$174,000 + 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.

• 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.
• Lead clients in modernizing their data infrastructure for advanced AI, establishing best practices and a long-term data strategy. Assess data maturity, design technical implementation plans, and ensure secure platform integration.
• Act as a key technical advisor, translating concepts into clear stories for business stakeholders.
• Drive the delivery and activation of AI solutions, collaborating with partners, and ensuring alignment with client's goals.
• Partner with sales and product teams to identify opportunities and drive growth.