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Vice President Of Data Science Jobs (NOW HIRING)

AXS

VP, Data Engineering

San Francisco, CA

$212K - $273K/yr

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world ...

Bombora

VP Engineering

New York, NY · On-site +1

$260K - $320K/yr

Reporting to the CTO and working in lockstep with the VP of Architecture, SVP of Data Science, and the Product Management team, the VP of Engineering is a critical contributor to Bombora's success.

Bombora

VP Engineering

New York, NY

$260K - $320K/yr

Reporting to the CTO and working in lockstep with the VP of Architecture, SVP of Data Science, and the Product Management team, the VP of Engineering is a critical contributor to Bombora's success.

Redfish Recruiting

Vice President of Marketing Department: Marketing Reports to: CEO Location: Remote / [Specify if ... Higher education institutions teaching computer science, data science, and cybersecurity.

Five9

OR

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 ...

Five9

Vice President, Data Science

San Ramon, CA

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 ...

Five9

Vice President, Data Science

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 ...

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Showing results 21-40

All JobsVice President Of Data Science Jobs

Vice President Of Data Science information

See salary details

$43.5K

$157.5K

$277.5K

How much do vice president of data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for vice president of data science 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 the key skills and qualifications needed to thrive as a vice president of data science?

To thrive as a Vice President of Data Science, you need advanced expertise in machine learning, statistics, data strategy, and leadership, typically supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with big data platforms (such as Hadoop, Spark), cloud solutions (AWS, Azure), and relevant programming languages (Python, R), as well as certifications in data science or cloud architecture, are commonly required. Exceptional communication, strategic thinking, and team management skills set top performers apart in this role. These abilities enable effective data-driven decision-making, innovation, and alignment of analytics initiatives with organizational goals.

How does a vice president of data science typically collaborate with other executive leaders within an organization?

A Vice President of Data Science frequently partners with other executive leaders—such as the CTO, CIO, and business unit heads—to align data initiatives with broader organizational goals. This collaboration involves translating business challenges into data-driven solutions, setting strategic priorities, and ensuring that data science projects deliver measurable value. Regular communication, cross-functional meetings, and joint planning sessions are common, as the VP of Data Science is responsible for both advocating for advanced analytics and integrating insights into company-wide decision-making. Building strong relationships with other leaders is key to driving adoption and maximizing the impact of data science across the business.

What is the difference between Vice President Of Data Science vs Data Science Director?

AspectVice President Of Data ScienceData Science Director
ResponsibilitiesStrategic leadership, setting data science vision, executive decision-makingManaging data science teams, project oversight, implementing strategies
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience, leadership skillsSimilar credentials, focus on technical expertise and team management
Work EnvironmentExecutive-level, cross-department collaboration, high-level planningOperational, team-focused, project execution
Industry UsageCommon in large organizations, strategic rolesFound in mid-to-large companies, tactical roles

The Vice President Of Data Science focuses on strategic leadership and high-level decision-making, while the Data Science Director manages teams and executes data projects. Both roles require advanced education and experience, but the VP role is more executive-oriented, whereas the Director is more hands-on with daily operations.

What does a vice president of data science do?

A Vice President of Data Science leads the strategy, development, and implementation of data science initiatives within an organization. They oversee teams of data scientists and analysts, manage large-scale data projects, and work closely with other executives to align data-driven insights with business goals. This role also involves setting best practices for data management, ensuring the quality of analytics outputs, and driving innovation through the use of advanced analytics and machine learning techniques.
What cities are hiring for Vice President Of Data Science jobs? Cities with the most Vice President Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Vice President Of Data Science jobs? States with the most job openings for Vice President Of Data Science jobs include:
Vice President Of Data Science jobs near you
Infographic showing various Vice President Of Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP of Data Engineering

Strategic Legal Practices

Los Angeles, CA • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

About Strategic Legal Practices
Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within California, representing clients in a range of consumer protection and civil litigation matters. Our Firm measures our success by how well our clients do. We are armed with a group of experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud litigators in California. The best predictor of performance is our record of achievement. We are proud to have successfully helped thousands of clients in their pursuit against car manufacturers. Our success rate is unmatched by any other Firm.
Position Summary
The Vice President of Data is responsible for building and leading the firm's data strategy, analytics, and reporting infrastructure to support legal operations, firm leadership, and business growth. This role owns enterprise data systems, reporting, and insights - translating complex data into actionable intelligence for attorneys, leadership, and operational teams.
Essential Duties & Responsibilities
1. Data Strategy & Governance
  • Develop and execute a firm-wide data strategy aligned with business goals, growth plans, and operational efficiency.
  • Serve as the senior leader responsible for data architecture, analytics, and reporting across all departments.
  • Establish data priorities that support litigation outcomes, client performance, financial forecasting, and resource allocation.
  • Advise executive leadership using data-driven insights to inform strategic decisions.
2. Engineering Leadership & Execution
  • Lead and scale the Firm's data infrastructure, analytics platforms, and software systems.
  • Oversee the development of data pipelines, reporting tools, and analytics solutions that drive efficiency and insight.
  • Ensure systems are reliable, scalable, and aligned with long-term technology strategy.
  • Drive delivery of high-quality solutions on time and within scope.
3. Technology Roadmap & Innovation
  • Develop and maintain a forward-looking technology roadmap in collaboration with cross-functional leaders.
  • Identify and implement modern data and cloud architectures (e.g., analytics platforms, automation tools, AI-driven solutions).
  • Evaluate and deploy emerging technologies to improve performance, reduce costs, and enhance scalability.
  • Lead initiatives related to AI agents, analytics automation, and workflow optimization.
4. Team Development & Organizational Design
  • Recruit, mentor, and retain a team of data engineers, analytics professionals, and software specialists.
  • Design organizational structures that support scalability, operational efficiency, and continuous improvement.
  • Foster a culture of accountability, technical excellence, and collaboration.
  • Conduct performance evaluations and support professional development.
5. Cross-Functional Collaboration
  • Partner with business leaders across legal operations, finance, HR, and technology to align data initiatives with firm priorities.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Support data-driven decision-making across departments.
6. Operational Excellence & Metrics
  • Monitor and optimize engineering KPIs, infrastructure performance, and data reliability.
  • Improve platform efficiency, reduce redundancy, and manage operational costs.
  • Ensure analytics and reporting solutions meet business needs and support strategic decision-making.
7. AI & Automation Enablement
  • Lead the implementation of AI-driven intelligence and automation to improve productivity and reduce operational burden.
  • Identify opportunities where data and automation can enhance Firm workflows and outcomes.
  • Measure and report the impact of AI and automation initiatives.
8. Data Governance & Quality
  • Establish firm-wide standards for data accuracy, consistency, and ownership.
  • Define data governance processes (naming conventions, access controls, validation rules).
  • Ensure data is secure and appropriately accessible across teams.
  • Partner with Legal, IT, and Compliance teams on privacy and security requirements (without owning legal compliance).

Requirements
Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Extensive experience in data engineering, analytics platforms, and enterprise data systems.
  • Proven leadership experience managing technical teams and complex initiatives.
  • Strong understanding of data governance, security, and compliance.
  • Ability to operate at an executive level while remaining hands-on when needed.

Preferred
  • Advanced degree in a related field.
  • Experience in professional services, legal, or regulated environments.
  • Experience implementing AI, automation, or advanced analytics solutions.

Compensation: $180,000 - $220,000 per year
This role is on site in Century City/Los Angeles
Benefits
We're committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including:
  • 401(k) with Employer Match - Plan for your future with confidence and company support.
  • Health, Dental, and Vision Insurance - Comprehensive coverage to keep you and your family healthy.
  • Short-Term, Long-Term Disability & Life Insurance - Financial protection for life's unexpected events.
  • Paid Parking - Convenient and covered, so you can focus on your day.
  • Generous Paid Time Off - Ample time to rest, recharge, and take care of personal matters.
  • Employee Referral Program - Earn rewards for introducing talented individuals to our team.
  • Employee Assistance Program (EAP) - Confidential resources for personal and professional support.
  • Employee Discount Program - Access to exclusive savings on a variety of products and services.

Apply