Director, Marketing Data Science

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$93,011 national median

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

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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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 source-linked preview and links to the original posting.