Data Product Manager | Axos Bank
About The Position
Target Range: $120,000.00 /Yr. - $140,000.00 /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% 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.
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., GitHub 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.
- Bachelor's degree in relevant field
- 5+ years of experience in data product management
- Experience in agile project management
- Proven track record in data engineering
- Familiarity with AI/ML technologies
- Experience with data governance tools
- Strong analytical and problem-solving skills
- Excellent interpersonal and communication skills
Nice To Haves
- 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.
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.
Benefits
- 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
- Health insurance
- 401(k) matching
- Vision insurance
- Health savings account
- Dental insurance
- Paid sick time
- Flexible spending account
- Life insurance
- RSU
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
