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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

Role function
Marketing From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

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)

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Apply link verified; last checked Aug 3, 2026.

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