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, SmartStreet™. 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 OPPORTUNITYThe 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 part of standard development practice and support root-cause analysis of production data defects.Optimize Snowflake performance and cost across query tuning, warehouse utilization, and transformation design.Manage priorities, capacity, and delivery commitments, and partner with Product, BI, Governance, Operations & Quality, and the business.Participate in interviewing and hiring decisions.Prepare and deliver employee performance evaluations, goal planning, and counseling.Manage, support, coach, and train employees.Follow all established policies and procedures.Perform other duties and projects as assigned.WHAT YOU’LL BRINGBachelor’s degree in Computer Science, Information Technology, Information Systems, Data Engineering, Software Engineering, or a related technical discipline.8+ years of progressive experience in Data Engineering, Analytics Engineering, Data Warehouse Development, or related roles.3+ years of experience leading technical teams, managing engineering delivery, and developing employees.4+ years of deep hands-on experience delivering enterprise data solutions using Snowflake, dbt, SQL, and Microsoft Azure.3+ years of advanced experience with production-grade dbt projects, including modular models, macros, testing, documentation, lineage, freshness, snapshots, and incremental processing.5+ years of experience in dimensional and relational modeling, data warehousing, Medallion Architecture, semantic models, and modern ELT.Advanced SQL development, debugging, performance tuning, and query optimization skills.Experience building well-tested, reliable data pipelines using dbt tests, data contracts, and data-quality checks as part of standard development practice.Working knowledge of batch and CDC ingestion patterns using Azure Data Factory or equivalent technologies.Experience with Python or another modern language for data processing, automation, APIs, and scripting.Working knowledge of Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.Experience with Git, Azure DevOps or comparable tools, CI/CD, pull requests, and automated quality gates.Strong understanding of data governance, metadata, lineage, privacy, security, auditability, and regulatory controls.Experience delivering data solutions in a SOX-controlled environment, including change management, control evidence, and audit support.Ability to balance hands-on leadership, people management, delivery oversight, and strategic planning in a fast-paced environment.Experience leading Analytics Engineering, Data Engineering, or Data Architecture in a regulated organization.Banking or financial services experience, including loans, deposits, treasury products, customers, accounts, or regulatory reporting.Experience applying agentic AI and AI-assisted development tools to accelerate engineering delivery, including establishing standards for governed, auditable use of AI in development workflows.Experience with data-quality or observability tools such as dbt tests, Great Expectations, Soda, Monte Carlo, or comparable platforms.Relevant Snowflake, dbt, Microsoft Azure, or comparable cloud data certifications.High school diploma or equivalent required.HOW WE’LL SUPPORT YOUFinancial Security: You will be eligible to participate in the company’s 401k plan which includes a company match and immediate vesting.Health & Well-Being: We offer comprehensive insurance options including medical, dental, vision, AD&D, supplemental life, long-term disability, pre-tax Health Savings Account with employer contributions, and pre-tax Flexible Spending Account (FSA).Building & Supporting Your Family: Banc of California partners with providers that offer adoption, surrogacy, and fertility assistance as well as paid parental leave and family support solutions including care options for your family.Paid Time Away: Eligible team members receive paid vacation days, holidays, and volunteer time off.Career Growth Opportunities: To support career growth of our team members, we offer tuition reimbursement, an annual mentorship program, leadership development resources, access to LinkedIn Learning, and more.The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors.Banc of California is an equal opportunity employer committed to creating a diverse workforce. All qualified applicants will receive consideration for employment without regard to their actual or perceived race (including traits associated with race, such as hair texture, hair type or protective hairstyles), religion or religious creed (including religious dress and grooming practices), color, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), sexual orientation, gender, gender identity, gender expression, gender transitioning, citizenship status, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information, or disability (mental or physical), requests for accommodation and any additional protected categories set forth in applicable federal, state or local laws. If you require reasonable accommodation as part of the application process, please contact Talent Acquisition.Job SummaryRequisition Number: VPANA005081Job Category: Technology \& DataSchedule: Full-Time