Business and Marketing Data Science Manager

Google; Seattle (WA); Hybrid; USD 240,000 - 334,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

PTO 20 days

Sick time Seattle 69h

Maternity leave

Baby bonding leave

Holidays 13 days

Job summary

Google Cloud is seeking a Business and Marketing Data Science Manager in Seattle to own outcomes and drive data-driven decisions. You will lead GenAI initiatives, define measurement frameworks, and present insights to senior stakeholders, shaping marketing spend and operational strategy.

This role requires strong leadership, deep domain expertise, and the ability to influence across teams. The position reports to the Seattle office, with a potential hybrid schedule.

Qualifications

• Bachelor’s degree in Data Science, Statistics, CS, Economics, MBA or related field with 11 years of progressive post-baccalaureate experience.
• Alternatively, Master’s degree with 9 years of experience in the job offered or related occupation.
• 9 years of experience in applying quantitative methods to unstructured business challenges, developing statistical algorithms or optimization models, and leading data visualization pipelines.

Responsibilities

• Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
• Set measurement strategy and oversee the creation of dashboards to track solution deployment.
• Lead analysis and interpretation of data, providing technical feedback for analytical challenges.
• Direct the shift from tracking data to OKRs to drive outcomes; identify and resolve product gaps by analyzing user feedback and metrics.
• Define team OKRs and partner with Strategy & Operations and leadership; travel regionally >10%.

Skills

Decision making

Influence stakeholders

Ambiguity resolution

Education

Bachelor’s degree in Data Science or related field

Master’s degree in Data Science or related field

Job description

Business and Marketing Data Science Manager

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
• Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
• Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
• Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
• Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
• Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
• Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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