×
Register Here to Apply for Jobs or Post Jobs. X

Data Product Manager

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Axos Bank
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Data Analyst, Data Science Manager
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% These discretionary target bonuses may be awarded semi‑annually based upon your achievement of performance goals and targets.

About This Job

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 role will report onsite to any of our posted locations. Remote or Hybrid is not available.

Key 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.
Required Qualifications
  • 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
  • Free access to an…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary