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Vice President Analytics Jobs in California (NOW HIRING)

VP, Analytics Engineering

Santa Ana, CA

$187K - $241K/yr

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 ...

New

VP, Analytics Engineering

Santa Ana, CA · On-site

$58.17 - $97.12/hr

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 ...

New

Vice President

Menlo Park, CA · On-site

$150 - $250/hr

Vice President -- Venture Capital & Fund Investments**Adams Street Partners seeks a Vice President ... Requirements:**- 6-8 years of investing analysis and due diligence experience with technology ...

Vice President

San Francisco, CA · On-site

$150 - $300/hr

Vice President -- Portfolio Management & Value Creation**Temasek is a global investment company ... Key Responsibilities:**- Lead strategic and operational analyses of portfolio companies: financial ...

The Vice President will lead deal execution activities, including sourcing opportunities, performing financial modeling and valuation analyses, coordinating due diligence workstreams, and preparing ...

VP Finance

Los Angeles, CA · On-site

$300K/yr

VP, Finance Southern California | On-site | PE-Backed Growth Company A PE-backed company in the ... This is a hands-on role owning FP&A, accounting, capital structure, and investor reporting in a ...

VP Finance

Los Angeles, CA · On-site

$200 - $250/hr

Position Overview The Vice President of Finance & Accounting will lead FP&A, accounting, financial reporting, treasury, audit, tax, and finance operations. This role requires a leader who can operate ...

VP

Sacramento, CA · On-site

$30 - $50/hr

As a VP, you will be responsible for developing new content and editing and improving existing ... Strong analytical, problem solving, and quantitative analysis skills. * Excellent communication ...

VP

Sacramento, CA · Remote

$30 - $50/hr

As a VP, you will be responsible for developing new content and editing and improving existing ... Strong analytical, problem solving, and quantitative analysis skills. * Excellent communication ...

Reporting directly to the CFO, the Vice President of Finance will oversee both corporate finance activities and financial planning and analysis (FP&A). This role will be instrumental in shaping the ...

Reporting directly to the CFO, the Vice President of Finance will oversee both corporate finance activities and financial planning and analysis (FP&A). This role will be instrumental in shaping the ...

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Showing results 1-20

Vice President Analytics information

See California salary details

$42.9K

$155.5K

$273.9K

How much do vice president analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for vice president analytics in California is $155,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $187,500.00 per year, depending on experience, location, and employer.

What does a vice president of analytics do?

A Vice President of Analytics leads an organization's data analytics strategy and oversees teams that analyze data to support business decisions. This role involves managing data collection, ensuring data quality, and transforming data into actionable insights for various departments. The VP of Analytics collaborates with executives to align analytics initiatives with company goals and often plays a key role in digital transformation projects. They also supervise the development of analytical models, reporting tools, and dashboards that help drive business growth.

What are the key skills and qualifications needed to thrive as a vice president of analytics?

To thrive as a Vice President of Analytics, you need deep expertise in data analysis, business intelligence, and strategic decision-making, usually backed by an advanced degree in a quantitative field. Familiarity with analytics platforms such as Tableau, SQL, Python, and experience with big data tools and cloud systems are commonly required, along with certifications like Certified Analytics Professional (CAP). Strong leadership, communication, and stakeholder management skills set top performers apart in this role. These competencies drive data-driven strategies that enhance business growth and ensure effective team leadership and cross-functional collaboration.

How does a vice president of analytics typically collaborate with other departments to drive business strategy?

A Vice President of Analytics frequently partners with leaders from departments such as marketing, product development, finance, and operations to align data-driven insights with organizational goals. This role involves translating complex analytical findings into actionable strategies that support decision-making across the business. Regular cross-functional meetings, data workshops, and strategic planning sessions are common, ensuring analytics initiatives are embedded in the company's broader objectives. Effective communication and stakeholder management are key, as the VP of Analytics must bridge the gap between technical teams and executive leadership.

What is the difference between Vice President Analytics vs Director of Data Analytics?

AspectVice President AnalyticsDirector of Data Analytics
ResponsibilitiesStrategic leadership, setting analytics vision, overseeing multiple teamsManaging analytics projects, leading data teams, implementing analytics solutions
Required CredentialsAdvanced degree (MBA, Master’s), extensive experience in analytics leadershipBachelor’s or Master’s in Data Science, Analytics, or related field
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project execution, technical analysis
Industry UsageCommon in large organizations, corporate strategy rolesPrevalent in mid to large companies, analytics departments

The Vice President Analytics typically holds a higher strategic leadership role, overseeing the entire analytics function and aligning it with business goals. The Director of Data Analytics focuses more on managing analytics teams and executing data projects. Both roles require strong analytical credentials, but the VP role emphasizes strategic vision and executive decision-making.

What are the most commonly searched types of Analytics jobs in California?

The most popular types of Analytics jobs in California are:

What are popular job titles related to Vice President Analytics jobs in California?

For Vice President Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Vice President Analytics jobs in California look for?

The top searched job categories for Vice President Analytics jobs in California are:

What cities in California are hiring for Vice President Analytics jobs?

Cities in California with the most Vice President Analytics job openings:

Infographic showing various Vice President Analytics job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $155,469 per year, or $74.7 per hour.

$187K - $241K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Banc Of California rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks


Job description

BANC OF CALIFORNIA AND YOUR CAREER

Banc 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 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 DIFFERENCE

  • Lead 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 BRING

  • Bachelor’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 YOU

  • Financial 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.


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