VP, Data Engineering and Delivery Manager

Overview

Banc of California, Inc. (NYSE: BANC) is a bank holding company headquartered in Los Angeles. It operates the Banc of California banking subsidiary, providing banking and treasury management services to small, middle‑market, and venture‑backed businesses across California and Denver, Colorado. The VP, Data Engineering and Delivery Manager will lead the development and validation of enterprise data solutions across Finance, Credit, Risk, and Operations.

• Lead development of data pipelines and models across raw, conformed, and curated layers.
• Convert business and product requirements into scalable engineering solutions.
• Ensure reusability, standardization, and adherence to architectural guardrails and data governance principles.
• Maintain delivery velocity through structured sprint planning and agile execution.

• Manage a QA function that validates all engineering outputs before production deployment.
• Develop functional test cases, source‑to‑target validation, and reconciliations.
• Ensure conformance to data contracts and performance expectations.
• Coordinate with Data Governance, Finance, and Compliance teams to validate SOX‑ and audit‑sensitive data elements.

• Own delivery checklists and sign‑off gates prior to go‑live.
• Collaborate with the Data Quality & Operations team for smooth transitions into production.
• Ensure all documentation, test evidence, and handoff materials are complete and traceable.
• Partner closely with QA, Data Ops, and platform teams for cutover and early life support.

• Manage and mentor a blended team of data engineers and QA analysts.
• Drive a delivery culture focused on trust, accountability, and transparency.
• Support talent planning, onboarding, and performance management.

• Data Product Team – Intake of prioritized requirements and epics.
• Data Ops & Quality Team – Handoff of validated solutions for ongoing stewardship and monitoring.
• Architecture & Platform Teams – Alignment with design, infrastructure, and performance expectations.
• Finance, Credit, Risk SMEs – Business alignment and UAT readiness.
• External SIs (e.g., Slalom) – Oversight of offshore/contractor delivery teams.

• 8+ years in data engineering and/or analytics engineering, with 3+ years leading delivery teams.
• High school diploma or equivalent.
• Strong command of modern data stack tools and workflows:
  Snowflake, dbt, Azure Data Factory, Python, SQL, Git.
• Experience with QA or testing tools (e.g., Great Expectations, SQL‑based test automation, reconciliation frameworks).
• Hands‑on experience with enterprise data delivery cycles: development, validation, release.
• Experience managing sprint delivery, backlog planning, and technical team execution.
• Exceptional cross‑functional collaboration and documentation skills.

• Familiarity with SOX, internal audit, FRB AIR, or other regulatory controls.
• Experience in banking, financial services, or highly regulated environments.
• Ability to manage hybrid onshore/offshore teams and external delivery partners.
• Familiarity with data governance tooling and practices (e.g., MS Purview, lineage).
• Exposure to CI/CD and Dev Ops pipelines for data assets.

• 401(k) plan with 100% match of the first 4% of contributions, immediately vested.
• Comprehensive medical, dental, vision, AD&D, supplemental life, long‑term disability, HSAs, and FSAs.
• Family support including adoption, surrogacy, fertility assistance, paid parental leave, and family care solutions.
• Paid vacation days, holidays, and volunteer time off.
• Career growth opportunities: tuition reimbursement, mentorship, leadership development, Linked In Learning, and more.

The company is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, gender identity, gender expression, national origin, pregnancy, religion, marital status, military status, or any other characteristic protected by federal, state, or local laws. If you require reasonable accommodations during the application process, please contact Talent Acquisition.