VP, Analytics Engineering

BANC OF CALIFORNIA AND YOUR CAREERBanc of California, Inc. (NYSE: BANC) is a bank holding company with over $34 billion in assets and the parent company of Banc of California. Banc of California is one of the nation’s premier relationship-based business banks, providing banking and treasury management services to small, middle market, and venture backed businesses. As the largest independent bank headquartered in California, the bank offers a broad range of loan and deposit products and services through a network of full-service branches and regional offices, as well as through digital and nationwide capabilities.

The bank also provides full-service payment processing solutions to its clients and serves the Community Association Management industry nationwide through its technology forward platform, Smart Street™. Banc of California is committed to supporting its local communities through the Banc of California Charitable Foundation and by partnering with organizations that promote financial literacy, job training, small business support, affordable housing, and more.

At Banc of California, our success is powered by our people and a shared commitment to delivering meaningful results. We foster an environment where entrepreneurial thinking is encouraged, and accountability and operational excellence are expected. Our team members are empowered to take ownership, make informed decisions, and make a meaningful impact as the bank continues to grow and evolve. We are dedicated to supporting your growth and wellbeing through comprehensive benefits, robust development opportunities, and inclusive programs that enable you to perform at your best.

Together we win!

THE OPPORTUNITY The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank’s Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery Manager, this hands-on, player-coach leadership role oversees a small team and works alongside engineers while partnering across the broader data organization and the business. This position combines deep hands-on expertise in Snowflake, dbt, and SQL with the ability to set standards, deliver quality data products, and develop talent in a SOX-controlled environment.

Performs all duties in accordance with the Company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates.

HOW YOU’LL MAKE A DIFFERENCELead and work alongside a small team of Analytics Engineers, Data Architects, and Modelers; hire, coach, and develop talent.

Design, build, and deliver scalable data solutions hands-on using Snowflake, dbt, SQL, and Microsoft Azure.

Establish engineering standards for dbt, SQL, data modeling, documentation, version control, testing, and deployment.

Guide reusable dbt models, macros, and semantic models, and lead dimensional data modeling, including Star Schemas and Fact and Dimension tables.

Own the transformation and modeling layers of the platform.

Build quality into development through dbt tests, data contracts, documentation, and peer review, partnering with the Quality Engineering team, which owns enterprise test frameworks and release certification.

Champion agentic engineering across the team by applying AI coding agents and AI-assisted development tools to accelerate dbt model development, code generation, refactoring, and documentation, with governed human review.

Evaluate and adopt emerging agentic development patterns and tooling for the Analytics Engineering workflow, setting standards for the safe, auditable use of AI in a SOX-controlled environment, and partner with Quality Engineering, which owns the Agentic Test Harness.

Embed dbt tests and quality gates into Git-based CI/CD pipelines as…