Director, Marketing Data Science
Chime - San Francisco, CA, USA
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $93,011 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.1% - Faster than average
Matched to SOC 13-1161 - Marketing aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Director, Marketing Data Science San Francisco, CA, USA About the role Chime is looking for a Director of Marketing Data Science to lead and scale our Marketing Data Science function during a critical phase of growth. In this role, you'll set the vision for how marketing analytics drives business strategy. You'll lead a high-performing team using descriptive analytics, modeling, and experimentation to advise Marketing and Executive leadership on where and how to invest for maximum impact. The base salary offered for this role and level of experience will begin at $217,000 and up to $300,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Drive business outcomes. This role is critical for the Growth org, this team is meant to deliver outcomes not academic analyses that will sit on a shelf - Set and implement the vision and strategy for the Marketing Analytics team - Lead, mentor, and scale a team of marketing analysts, fostering high standards for technical rigor and business impact - Prioritize the team's work. Improve the team's processes using AI. - Own the company's marketing reporting and analysis for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV - Build scalable reporting infrastructure and self-serve tools that improve marketing velocity and accountability - Use MMM, experimental, and quasi-experimental methodologies to estimate incremental
Read the full description at boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.
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