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Data Product Manager - VP

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Axos Bank
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Axos Bank

Target Range: $ /Yr.

- $ /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%

Axos Bank is seeking a VP, Data Product Manager, to shape the next generation of our enterprise data platform. You’ll combine product thinking, data engineering fluency, and AI-driven delivery insights to help the team move faster, deliver smarter, and scale seamlessly. This role bridges strategy and execution — owning the roadmap, backlog, and outcomes that enable analytics, AI, and business innovation across the organization.

This position may be remote, depending upon your location.

Responsibilities
  • Own and manage the data engineering backlog—prioritize stories, define acceptance criteria, and ensure delivery of pipelines and platform capabilities that accelerate data availability and quality.
  • Partner with Business Units, Analytics, and Tech Leadership to ensure data products are trusted, timely, and aligned with business priorities.
  • Collaborate with Data Engineers, Tech Leads, and Architects to translate technical vision into actionable deliverables for ingestion, transformation, orchestration, and serving layers.
  • Advocate for governed, scalable, and AI-ready data—partnering with Collibra and platform teams to ensure compliance and discoverability.
  • Champion AI-assisted development and automation (e.g., dbt auto-tests, Databricks notebooks, CI/CD intelligence, metadata lineage) to improve team velocity and reduce manual workload.
  • Leverage AI/ML-based monitoring and observability tools to enhance data reliability, anomaly detection, and operational performance.
  • Drive the Data Platform roadmap, aligning across engineering, analytics, and business stakeholders with clear transparency and measurable impact.
  • Foster a culture of continuous improvement, using metrics and retrospectives to increase throughput, quality, and predictability of delivery.
  • Represent the engineering voice in cross-functional planning and communicate technical dependencies, risks, and opportunities clearly.
  • Mentor junior Scrum Masters and influence agile practices to enhance team productivity and engagement.
What Success Looks Like
  • A transparent and trusted roadmap for the data platform.
  • Consistent, high-quality, and governed data delivery.
  • Improved team velocity and reduced cycle time through automation and AI augmentation.
  • Strong relationships and alignment across business, analytics, and engineering.
  • A scalable, AI-enabled platform foundation supporting future data products and innovation.
Requirements
  • 5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management roles within modern data environments.
  • Hands-on familiarity with Databricks, dbt, Fivetran, Kafka, Census, Azure Data Services, SSIS, Tableau, and Collibra.
  • Experience leveraging AI-assisted tools (e.g., Git Hub Copilot, ADO, Databricks Assistant, or similar) to boost productivity and code quality.
  • Strong grasp of data architecture, pipelines, orchestration, and governance frameworks.
  • Proven ability to manage backlogs, define roadmaps, and drive delivery through Agile methodologies.
  • Excellent communication and stakeholder management skills across technical and non-technical audiences.
Preferred
  • Experience working in financial services or regulated data ecosystems.
  • Exposure to Lakehouse architectures, metadata-driven automation, and AI Ops for data platforms.
  • Certifications such as CSPO, SAFe POPM, or Cloud certifications are advantageous.
Axos Employee Benefits May Include
  • Medical, Dental, Vision, and Life Insurance
  • Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
  • HSA or FSA account and other voluntary benefits
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading
About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and…

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