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AVP, Data Product

Job in Santa Ana, Orange County, California, 92725, USA
Listing for: Banc of California
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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Banc of California, Inc. (NYSE: BANC) is a bank holding company headquartered in Los Angeles with one wholly‑owned banking subsidiary, Banc of California (the “bank”). Banc of California is one of the nation’s premier relationship‑based business banks focused on providing banking and treasury management services to small, middle‑market, and venture‑backed businesses. Banc of California offers a broad range of loan and deposit products and services, with full‑service branches throughout California and Denver, Colorado, as well as full‑stack payment processing solutions through its subsidiary, Deepstack Technologies.

The bank is committed to its local communities by supporting organizations that provide financial literacy and job training, small business support, affordable housing, and more.

Seniority Level
  • Executive
Employment Type
  • Full‑time
Job Function
  • Product Management and Marketing
Industries
  • Banking
The Opportunity

The AVP, Data Product role will serve as the bridge between various stakeholders across the organization and Enterprise Data teams. This role is responsible for understanding data needs, defining and managing data products, and ensuring high‑quality, trusted, and accessible data that drives decision‑making. The AVP, Data Product will work cross‑functionally with Data Engineering, Data Governance, and Data Quality to ensure data is accurate, well‑governed, and aligned with business needs.

This individual will play a critical role in shaping the data strategy, ensuring data is treated as a product, not just a by‑product, enabling self‑service analytics and operational efficiency. Additionally, this role will support transitional data projects as the organization shifts to a modern data platform.

How You’ll Make a Difference
  • Data Product Ownership & Strategy
    • Act as the primary liaison between various stakeholders (Finance, Credit, Operations, Marketing, Payments, etc.) and Enterprise Data teams to understand business requirements.
    • Define, prioritize, and maintain the data product roadmap, ensuring alignment with business objectives.
    • Champion data as a product by ensuring data is well‑structured, governed, easily consumable, and reusable.
    • Drive adoption and usage of data assets by improving accessibility, usability, and trust.
    • Identify and bridge gaps in existing data pipelines, models, and reporting frameworks that are implemented or under development.
    • Work with business stakeholders and Enterprise Data teams to stabilize and optimize legacy data systems while transitioning to new platforms.
    • Partner with business stakeholders to provide interim data solutions where necessary until data products reach maturity.
  • Collaboration & Execution
    • Work closely with Data Engineering to ensure timely and scalable data delivery solutions.
    • Partner with Data Governance and Data Quality to enforce data definitions, lineage, and controls.
    • Define and track KPIs for data products, ensuring they meet business expectations for quality, availability, and performance.
    • Support teams in leveraging data for analytics, automation, and compliance reporting needs.
  • Data Governance & Quality
    • Ensure data products adhere to data governance, security, and compliance requirements.
    • Define and drive data quality standards, including anomaly detection, reconciliation, and issue resolution.
    • Advocate for metadata management and data lineage tracking to improve data transparency and reliability.
  • Stakeholder Engagement & Communication
    • Translate business requirements into actionable data solutions.
    • Educate various business teams on best practices for data access, governance, and self‑service analytics.
    • Communicate progress, priorities, and insights to stakeholders and Enterprise Data leadership.
  • Treat people with respect; keep commitments; inspire the trust of others; work ethically and with integrity; uphold organizational values; accept responsibility for own actions.
  • Demonstrates knowledge of and adherence to EEO policy; shows respect and sensitivity for cultural differences; educates others on the value of diversity; promotes working…
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