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Vp Of Data Jobs (NOW HIRING)

VP of Data & AI

Spokane, WA ยท On-site

$185/hr

Description: VP of Data & AI Location: Seattle, WA (or Remote/Hybrid) Type: Full-Time | Leadership Compensation: Competitive Salary $185-250K that includes Meaningful Equity _____ ABOUT BUYWANDER ...

Vice President of Marketing Department: Marketing Reports to: CEO Location: Remote / [Specify if ... Cyber & Data training specialists like ManTech and Data Society * Bootcamps and professional ...

Drive operational excellence through performance management, process optimization, and data-driven ... VP: * 5-10 years of senior leadership experience in operations, transportation, logistics, or a ...

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Vice President of Operations

Dallas, TX ยท On-site

$205K - $245K/yr

The Vice President of Operations is responsible for leading, directing, and overseeing the operational capabilities and output of all multi-state facilities ensuring compliance with state and federal ...

OR

$266K - $300K/yr

The VP of Finance will play a critical leadership role in scaling the finance organization, improving forecasting accuracy, and ensuring data-driven decision making in a fast-paced environment. Role ...

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$43.5K

$157.5K

$277.5K

How much do vp of data jobs pay per year?

As of Jun 11, 2026, the average yearly pay for vp of data in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are VP of Data?

A VP of Data, or Vice President of Data, is a senior executive responsible for overseeing an organization's data strategy, governance, and analytics initiatives. They lead teams that manage data collection, storage, analysis, and security, ensuring data is used effectively to support business goals. The VP of Data collaborates with other executives to drive data-driven decision-making and often plays a key role in digital transformation efforts. Their responsibilities may include developing data policies, implementing new technologies, and ensuring compliance with regulations. Strong leadership, technical expertise, and strategic vision are essential for this role.

What are some common challenges a VP of Data faces when aligning data strategy with overall business objectives?

A VP of Data often encounters the challenge of bridging the gap between technical data initiatives and business goals. Ensuring that data strategies directly support organizational objectives requires close collaboration with executive leadership and cross-functional teams. Additionally, balancing the need for robust data governance with the agility to respond to evolving business needs can be complex. Building a unified data culture and securing stakeholder buy-in for data-driven decision-making are also key hurdles in this role.

What is the difference between Vp Of Data vs Data Director?

AspectVp Of DataData Director
ResponsibilitiesStrategic data initiatives, data governance, and aligning data strategy with business goalsManaging data teams, overseeing data projects, and ensuring data quality and delivery
Required CredentialsAdvanced degrees in data science, business, or related fields; extensive experience in data leadershipSimilar credentials, often with a focus on data management and analytics experience
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational management within data teams, project oversight

The Vp Of Data typically holds a higher strategic and executive role, focusing on overall data strategy and governance, while the Data Director manages day-to-day data operations and team management. Both roles require strong data expertise, but their scope and focus differ.

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 management, analytics, and strategy, often backed by a degree in computer science, statistics, or a related field and significant leadership experience. Familiarity with big data platforms (such as Hadoop or Spark), data visualization tools, cloud services, and data governance frameworks is crucial, and certifications like Certified Data Management Professional (CDMP) are often valued. Strong leadership, communication, and strategic thinking skills help drive cross-functional collaboration and align data initiatives with business goals. These capabilities are essential to ensure data-driven decision-making, regulatory compliance, and organizational growth.
What cities are hiring for Vp Of Data jobs? Cities with the most Vp Of Data job openings:
What are the most commonly searched types of Of Data jobs? The most popular types of Of Data jobs are:
What states have the most Vp Of Data jobs? States with the most job openings for Vp Of Data jobs include:
Infographic showing various Vp Of Data job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 67% Full Time, 10% Part Time, and 22% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Vice President of Data and Analytics

Vice President of Data and Analytics

Credit Union of Southern California

Anaheim, CA โ€ข Hybrid

$192K - $315K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description

The Vice President of Data & Analytics defines and leads the credit union's enterprise data and analytics strategy to enable trusted reporting, actionable insights, and data driven decision making. This role ensures data assets are governed, secure, and aligned to business, regulatory, and member experience objectives.


Partnering with senior leaders, the VP translates strategy into measurable outcomes, advances analytics maturity beyond reporting, and guides the responsible adoption of advanced analytics and AI to improve performance, manage risk, and support sustainable growth.ย 

Member Service Hours: Monday to Friday, 8:30AM - 5:30PMย 

*Based upon business needs, our positions may require working flexible hours, including evenings and weekends.


This position in based in Anaheim Hills CA with the opportunity to work a hybrid-remote schedule which consist of 2 days in-office and 3 days working remote from home.


Why Work at CU SoCal?

CU SoCal is one of the fastest growing credit unions and is more than just a place to work. It's a place where people come before profit, a place where you can build a career that's more than a job, and where the work you do has meaning and purpose. We offer competitive pay, great health benefits and a culture like no other!


CU SoCal is a Gallup Exceptional Workplace Award Recipient

In 2026, Credit Union of Southern California (CU SoCal) was once again honored with the Gallup Exceptional Workplace Award, marking our third consecutive win and ranking us among the top workplaces worldwide for outstanding employee engagement.


The CU SoCal culture fosters Building Better Lives for our Members, personal development, open communication, and genuine care for each other. We prioritize C.A.R.E. 4: professional competence, positive attitude, relationship building, and eager service to others. If you're passionate about making a difference and want to be part of a dynamic team, please submit your application today!

Requirements

Minimum Qualifications

  • 8+ years of progressive experience in data, analytics, or business intelligence roles.
  • 4+ years in people leadership.
  • Bachelor's degree.
  • Demonstrated experience leading enterprise data and analytics initiatives that support reporting, insight generation, and strategic decision making.
  • Strong understanding of modern data and analytics architectures, including data warehousing, data modeling, and cloud-based data platforms.
  • Experience establishing or operating within data governance frameworks, including data quality, stewardship, security, and access controls. ย 

Preferred Qualifications

  • Bachelor's degree in a quantitative discipline, (economics, statistics, computer science, IT development or infrastructure).
  • Proven experience with vendor management and onboarding new technologies or services.
  • Experience in financial services, credit unions, or other highly regulated industries.
  • Team oriented and collaborative working style, both with internal team members and leaders.
  • Experience with CI/CD pipelines and code repositories.
  • Ability to demonstrate the various ways in which generative AI (e.g. CoPilot, ChatGPT) can be injected into daily tasks.

Skills and Abilities

  • Proficient in all applicable MS Office programs (i.e., Word, Excel, Outlook, Teams, etc.).
  • Ability to clearly communicate insights and complex technology-related topics to a non-technical audience.
  • Strong background in mathematics and statistics.
  • Ability to work for long periods on highly detailed, precise work activity.
  • Time pressures and tight deadlines.

Essential Duties and Responsibilities

  • Defines and owns the credit union's enterprise data and analytics strategy, roadmap, and operating model in alignment with business and technology priorities.
  • Accountable for prioritizing and delivering enterprise reporting and analytics capabilities aligned to strategic business objectives.
  • Establishes a scalable, secure, and well governed data foundation in partnership with IT, Information Security, and Risk to support reporting, analytics, and future advanced capabilities.
  • Provides strategic oversight of data platforms, tools, and vendor relationships to ensure scalability, security, and cost effectiveness.
  • Develops and maintains relationships with executive management and credit union leaders while staying current on regulations (GLBA, CCPA, FFEIC) and business priorities to provide prescriptive and predictive analytical solutions.
  • Partners with executive leadership to translate business strategy into measurable outcomes, analytical use cases, and prioritized initiatives.
  • Partners with cross-functional teams and third-party vendors to gather data requirements, create reporting solutions, and implement new data sources.
  • Provides thought leadership on emerging data, analytics, and AI capabilities and evaluates their relevance and value to the credit union.
  • Ensures analytics investments deliver measurable business value through clear success metrics, benefit tracking, and continuous improvement.
  • Establishes effective operating models and delivery practices to ensure predictable, high-quality analytics delivery.
  • Builds, develops, and retains high performing data and analytics talent through coaching, clear role definition, and succession planning.
  • Complete understanding and active application the C.A.R.E. 4 Guide expectations and the Brand Communications Standards Accountability Philosophy.
  • Must be able and available to work a "hybrid" schedule, per business operations requirement, as needed
  • Additional duties and responsibilities, as assigned.

We support Pay Transparency and are a pay-for-performance organization that benchmarks base pay to the 50th percentile of market data.


Pay Scale: Min. $192,157 / Mid. $245,000 / Max. $315,848* per year

*Actual compensation will be based on geographical location, work experience, education and/or skill level.


CU SoCal is an equal opportunity employer. All decisions are based only on the individual's qualifications/ability to perform the work. The above statements are intended to describe the essential functions, nature and level or work to be performed as of the document preparation date; they are not intended to be an exhaustive list of all duties and responsibilities. CU SoCal reserves the right to modify this job description at any time, without notice.


We foster an environment and culture where ideas and decisions from all people help us grow, innovate, and fulfill our mission of Building Better Lives.