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Vp Data Jobs in San Ramon, CA (NOW HIRING)

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank -from Marketing, Personal ...

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank, ensuring secure, scalable, and reliable ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

The VP, Business Data Delivery will lead the delivery of trusted data products that drive decision-making across various business functions, shaping the company's customer data strategy and fostering ...

VP of Finance

Benicia, CA ยท On-site

$225 - $250/hr

The VP of Finance will work closely with leadership, investors, and cross-functional teams across ... Partner with operational teams to translate financial data into actionable insights * Evaluate ROI ...

New

VP, Sales

Fremont, CA ยท On-site

$180 - $250/hr

Title: VP/SVP of Business Company: Mattson Technology, Inc. a 38-year Silicon Valley company ... data-backed optimizations to enhance offtake. * Accountable for delivering sustained growth of ...

Vice President, Copy

San Francisco, CA ยท Hybrid

$130K - $195K/yr

As the Vice President, Copy , you will be the ultimate champion and architect of narrative strategy ... You write with data, insights, and performance in mind. The salary range for this position is $130 ...

Vice President, Copy

San Francisco, CA ยท On-site

$130K - $195K/yr

As the Vice President, Copy , you will be the ultimate champion and architect of narrative strategy ... You write with data, insights, and performance in mind. The salary range for this position is $130 ...

Vice President, Engineering

San Francisco, CA ยท On-site

$175K - $205K/yr

Partner closely with the VP, Product Growth & Engineering, the Senior Director, Data & Analytics ... and other senior leaders to translate ambitious cross-functional strategies into delivery ...

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Showing results 1-20

Vp Data information

See San Ramon, CA salary details

$48.6K

$176K

$310.1K

How much do vp data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for vp data in San Ramon, CA is $176,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,500.00 and $212,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VP of Data, and why are they important?

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

What jobs in the US pay 300,000 a year?

For a VP Data or similar senior data leadership roles, annual salaries of $300,000 or more are common in large corporations, especially with extensive experience, advanced skills in data strategy, analytics, and management, and often include bonuses and stock options. Other high-paying roles in data science and analytics may include Chief Data Officer or Director of Data, typically requiring a strong track record and advanced certifications. Compensation varies based on industry, company size, and geographic location, with executive-level positions generally offering the highest salaries.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

How much does a VP data engineer make?

A VP of Data Engineering typically earns between $150,000 and $250,000 annually, with compensation increasing based on experience, company size, and location. They often oversee data teams, manage data infrastructure, and require strong skills in data architecture, cloud platforms, and leadership. Bonuses and stock options may also be part of the total compensation package.

What jobs pay 200,000 a year in the USA?

For a VP of Data or similar senior data leadership roles, annual salaries of $200,000 or more are common, especially with extensive experience, advanced skills in data management, analytics, and leadership, and often require a master's degree or higher. Compensation can vary based on industry, company size, and location, with additional benefits such as bonuses and stock options frequently included.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and Chief Data Officers can earn $500,000 or more annually, especially in large corporations. High-level positions in finance, technology, and healthcare, along with successful entrepreneurs and specialized professionals with significant experience, may also reach this compensation level. These roles often require advanced degrees, extensive experience, and leadership responsibilities.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
What are the most commonly searched types of Data jobs in San Ramon, CA? The most popular types of Data jobs in San Ramon, CA are:
What job categories do people searching Vp Data jobs in San Ramon, CA look for? The top searched job categories for Vp Data jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Vp Data jobs? Cities near San Ramon, CA with the most Vp Data job openings:
Infographic showing various Vp Data job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $176,045 per year, or $84.6 per hour.

VP, Data Platforms

LendingClub Bank

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago


Job description

Current Employees of Happen Bank: Please apply via your internal Workday Account
Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.
About the Role
The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank -from Marketing, Personal Loans, Deposits, Credit Risk, Fraud, Operations, and Compliance.
This leader owns the strategy, architecture, and operation of Happen Bank's enterprise data and AI platforms, ensuring secure, scalable, and reliable capabilities that power analytics, machine learning, operational decisioning, and business intelligence across the company.
Driven by Happen Bank's mission of improving the financial health of everyday Americans, this role will deliver the platform capabilities, self-service tooling, and unified customer data foundation that enable teams to make better decisions faster. The VP will be a champion of a company-wide data-first culture, a key shaper of responsible AI adoption in a regulated environment, and an engineering leader who transforms data into a durable enterprise asset.
What You'll Do
Data Platform Strategy & Architecture
  • Define and execute the strategy, architecture, and roadmap for Happen Bank's enterprise data and AI platforms
  • Own the customer data foundation, including canonical data models and the Customer Data Platform (CDP), enabling a trusted single source of truth across Marketing, Lending, Credit Risk, Fraud, Operations, and Compliance
  • Oversee the end-to-end lifecycle of enterprise data, from source-system ingestion through canonical modeling, certified marts, and BI / AI consumption
  • Lead modernization of the data ecosystem while balancing business priorities, platform resiliency, and long-term scalability
  • Build platform capabilities that support analytics, operational decisioning, customer experiences, experimentation, and AI-powered products
AI & Data Enablement
  • Shape Happen Bank's AI strategy from a data platform perspective, including feature stores, model serving, MLOps, and responsible AI adoption in a regulated environment
  • Build self-service analytics and activation capabilities that enable teams to access trusted data without requiring engineering intervention
  • Partner with Product, Analytics, and business leaders to translate business needs into scalable platform capabilities
  • Enable AI and machine learning teams through robust data, platform, and governance capabilities that accelerate innovation while maintaining compliance and risk standards
Governance, Reliability & Compliance
  • Establish enterprise standards for data governance, Critical Data Elements (CDEs), metadata, lineage, quality, privacy, and regulatory compliance
  • Lead Data SRE, observability, resiliency, production support, and operational excellence initiatives that ensure secure, reliable, and scalable platform operations
  • Ensure platforms meet security, risk management, and regulatory requirements appropriate for a digital bank
  • Drive data quality, monitoring, and governance programs that support trusted business and regulatory reporting
Engineering Leadership
  • Lead and develop high-performing teams across Data Engineering, Platform Engineering, Governance & Enablement, ML Platform, and Production Support
  • Foster a culture of accountability, innovation, operational excellence, and continuous improvement
  • Build organizational capabilities, succession plans, and leadership pipelines that support long-term growth
  • Attract, coach, mentor, and retain exceptional engineering leaders and individual contributors
Business & Executive Partnership
  • Partner with executive leadership to align data and AI investments with company strategy and measurable business outcomes
  • Manage strategic vendor relationships, platform investments, and technology spend to ensure efficient delivery and responsible economics
  • Drive a data-first culture by enabling teams across the organization to make faster, better-informed decisions
  • Communicate platform strategy, investment priorities, risks, and outcomes to executive leaders, business stakeholders, and regulators

About You
  • 13+ years of software engineering experience, including 10+ years leading and developing engineering teams
  • 5+ years of experience leading enterprise data platforms, data products, or data engineering organizations in a public cloud environment
  • Demonstrated experience building and scaling data platforms that support analytics, machine learning, customer experiences, and operational decision-making
  • Strong understanding of modern data architectures, governance frameworks, observability, metadata management, and AI/ML platforms
  • Experience building and operating cloud-based data ecosystems using technologies such as Databricks, dbt, Fivetran, data catalogs, observability tooling, and modern data governance platforms
  • Proven success leading large-scale platform modernization and cloud transformation initiatives
  • Strong knowledge of production operations, reliability engineering, incident management, and platform support models
  • Experience partnering with Product, Analytics, Risk, Compliance, and business leaders to deliver enterprise data capabilities
  • Strong executive communication skills with the ability to influence business, technology, and regulatory stakeholders
  • Demonstrated ability to translate business objectives into platform strategy and measurable outcomes
  • Hands-on familiarity with advanced analytics, machine learning, and data science workflows and the platform requirements they impose
  • Experience operating within highly regulated industries such as financial services, healthcare, or similar environments
  • Bachelor's degree or higher, or equivalent combination of education and experience

Nice to Have
  • Experience working in both high-growth organizations and large-scale enterprises
  • Understanding of consumer financial products, personal financial management, or regulated marketing environments
  • Experience leading enterprise AI enablement initiatives and modern data platform transformations
  • Experience supporting highly regulated consumer products and operating within complex compliance and governance frameworks

Work Location
San Francisco
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.
Time Zone Requirements
Primarily PT
While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 240,000-270,000 The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
#LI-Hybrid
#LI-HB1
Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.
Notice on AI Tool Use
For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.
You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.
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