Job Type
Job Details
- Bachelor's degree or equivalent practical experience.
- 5 years of experience creating and presenting customer-facing materials (e.g., pitches, narratives, or one-sheets) for sales teams.
- 5 years of experience in advertising sales, marketing, consulting, or media (e.g., search, social, mobile, display, and video media).
- Experience in Media Mix Modeling, Statistical Analysis, SQL, and Cloud Computing.
Preferred qualifications:
- 5 years of experience working cross-functionally to influence priorities/strategy.
- Experience using APIs or batch processing, and machine learning methods (e.g., random forest, NLP, neural networks, Generative AI).
- Knowledge of testing design and random sampling techniques, with experience building standard predictive models (e.g., linear and logistic regression, clustering).
- Knowledge of cloud computing and generative AI.
- Excellent communication skills, with the ability to present concepts clearly, own a storyboard and determine data visualization using spreadsheets, slide presentations, interactive data products (e.g., Tableau, etc.).
Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
As a Marketing Science Lead, you are a trusted advisor to customers and agencies. You will serve as the resident expert for measurement, testing, and AI driven insights across Google’s ad platforms. You will be working with clients and will develop client relationships with key decision makers, including senior leaders in marketing strategy and analytics teams.
Global marketing done right is becoming more challenging due to fast-changing consumer expectations, diversity in individual market landscapes, and the rate of technological change. At its core, Global Clients and Agency Solutions (GCAS) helps leading brands, trade bodies and marketing partners navigate this complexity so that they can continue to be the market makers who positively shape our industry. Everyday, we help our partners fully utilize Google’s products, talent and insights to advance their marketing performance and the advertising ecosystem at large. Whether through building stronger tech and media foundations, surfacing cutting edge insights or structuring industry dialogue, GCAS helps shape what’s next into now.
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.
- Support the growth of Google Ads and the Google Marketing Platform through analysis of Enterprise customer's marketing and first-party data.
- Develop custom recommendations that consolidate multiple client data workflows to reflect a unified view of the customer.
- Partner with Data Transformation Leads, Analytical Leads, Product Managers, and Go-to-Marketing teams to develop and test tools, templates, and frameworks to streamline and scale client analyses.
- Collaborate with the team to educate and train clients/agencies on how to best architect and optimize Google Ads and Google Marketing Platform media.
- Develop a data-driven approach to measurement and analysis that align with client marketing objectives.
