AVP, Marketing Data Engineering
AXOS Financial INC - San Diego, CA
Posted May 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- 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 checked Jun 13, 2026
- Salary
- $115K-$150K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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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
42% above the BLS role benchmark for marketing aggregate.
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.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AVP, Marketing Data Engineering San Diego, CA Axos Bank Target Range: $115,000.00/Yr. - $150,000.00/Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing data is ingested, processed, and delivered, partnering closely with analytics, governance, and platform teams. This is a hands-on leadership role with accountability for both architecture and execution. Responsibilities: Design and operate secure batch and near‑real‑time data ingestion pipelines Ensure raw data is immutable, traceable, and standardized for downstream use Build transformation layers and canonical data models that protect downstream systems Own pipeline reliability, monitoring, and data quality controls Lead and scale hybrid onshore/offshore engineering teams Establish runbooks, quality standards, and escalation paths Partner with analytics, data governance, MarTech, and activation teams Drive automation and AI adoption to improve quality, efficiency, and scalability Qualifications: Bachelor's degree preferred 7+ years in data engineering or data platform roles Experience leading engineering teams, including distributed or offshore models Strong experience with modern data platforms (e.g., Databricks or similar) Hands-on expertise in data ingestion, transformation, and quality monitoring Experience in regulated environments (financial services preferred)
Read the full description at axos.wd5.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.
Apply link verified; last checked Aug 3, 2026.
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