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 Head of Data, Measurement and Analytics for CG&E HPC, you will lead a team of pod-aligned data transformation leads and analytical Leads to grow Google business and advance client data, technical, and measurement maturity.

In this role, you will be the team's measurement and analytics expert, lead the team's strategy across data and measurement priorities, and serve as an active member of the Home and Personal Care and Data Measurement and Analytics Leadership teams.

You will lead Analytical Leads (ALs) and Data Transformation Leads (DTLs) supporting the CG&E Home and Personal Care (HPC) Sales team. Your goal is to grow Google business by advancing Value Delivered, Total Opportunity, Data Strength, and Proof of Value within the HPC vertical. You will serve as the team’s most executive subject matter expert (SME) and a key member of the vertical leadership team.

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 $179,000-$249,000 + 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.

Responsibilities

• Define the HPC's data, measurement and analytics strategy, selling clients on Google's measurement solutions to achieve their objectives.

• Design solutions to bridge measurement gaps with implementing comprehensive first-party data strategies (eg. value-based bidding and omnichannel) and Ad tech to deepen the impact of Google Ads flagship products, including power pair (AI Max + PMax), demand gen, and YouTube.

• Capture more outcomes for the customers by utilizing solutions such as data strength and Google's data infrastructure.

• Enable competitive selling by understanding how HPC customers measure value delivered from their marketing investment and how Google competes.

• Build an effective, high-performing and collaborative team, support the team in delivering full funnel measurement strategies, including identifying new business opportunities to drive customer outcomes. Focus on the highest value opportunities, scale successes, and define clear swim lanes.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 15 years of experience in marketing analytics, strategy consulting, financial modeling, or statistical analysis.

• 7 years of experience in a sales leadership and people management role, including coaching, mentoring, and team development.

Preferred qualifications

• Experience with marketing analytics tools (e.g., experimentation frameworks, attribution models, measuring incrementally, statistical approaches, SQL, R, Python etc.).

• Ability to effectively influence and communicate cross-functionally with all levels of management internally and externally.