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Vice President Of Data Science Jobs (NOW HIRING)

VP, Data Engineering

Los Angeles, CA

$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 ...

As the Vice President of Data Architecture at Conga , you will define and lead the enterprise data strategy that underpins a unified, governed, and scalable data ecosystem across all Conga platforms.

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.

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.

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

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 of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

About the Role We're hiring a VP of Data Product to own our data as a business: the strategy ... Marketing science feeds - our consumer permissioned transaction data, delivered at the merchant ...

New

Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end -- and to make data TradeStation's competitive advantage. Reporting directly to the SVP of ...

WI · On-site

$244 - $279/hr

... science, analytics, and data product functions end to end -- and to make data TradeStation's competitive advantage. Reporting directly to the SVP of Product Strategy, this executive owns the ...

NY · On-site

$244 - $279/hr

... science, analytics, and data product functions end to end -- and to make data TradeStation's competitive advantage. Reporting directly to the SVP of Product Strategy, this executive owns the ...

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... data, and staffing engagements. You are equally comfortable engaging with C-suite executives ...

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... data, and staffing engagements. You are equally comfortable engaging with C-suite executives ...

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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 Sep 6, 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 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 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 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:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP, Data Engineering

AXS

Los Angeles, CA

$194K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

AXS is a global leader in live event ticketing and e-commerce, processing more than $4B in annual transactions. Each year, we connect millions of fans with the artists, teams, and experiences they love, powering ticket sales for concerts, festivals, sporting events, and theater at some of the world's most iconic venues.

At the forefront of transforming live entertainment through technology, AXS has continuously advanced the industry since our founding in 2011, making it easier than ever to discover events, secure the perfect seats, and enjoy unforgettable live experiences.

We are passionate about delivering transformative experiences for our customers. As we accelerate our vision to create a seamless journey around the entire lifecycle of a live event - from discovery and planning to participation and lasting memories - we are seeking a proven data engineering leader to help build the platforms and pipelines that power that future. This is a unique opportunity to shape the data foundation of live entertainment alongside some of the brightest minds in technology and the industry.

The Role

The Vice President of Data Engineering will lead AXS' global data engineering organization, owning the strategy, architecture, and operation of the data platforms, pipelines, and infrastructure that power personalization, analytics, fraud prevention, pricing, and reporting across the business. This includes our data lake and warehouse, streaming and batch pipelines, data quality and governance practices, and the systems that make trusted, real-time data available to Product, Data Science, Marketing, Finance, and Operations.

This leader will define the vision, strategy, and roadmap for AXS' data platform, ensuring it scales reliably with transaction volume while remaining secure, compliant, and cost-effective. They will drive engineering excellence, strengthening execution to deliver high-quality data infrastructure at scale.

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-class data engineering team. As a visible and influential leader, the VP will foster innovation and technical rigor, ensuring AXS' data infrastructure continues to be a competitive advantage.

Responsibilities
  • Partner with the CTO and senior engineering leadership to define and advance AXS' data engineering strategy and architecture.
  • Own the roadmap for data platforms, pipelines, and infrastructure, balancing long-term vision with near-term priorities across analytics, personalization, fraud, and reporting needs.
  • Oversee the design, build, and operation of scalable data pipelines (batch and real-time) that ingest, transform, and serve data reliably across the business.
  • Lead the evolution of AXS' data lake/warehouse architecture, ensuring performance, cost efficiency, and reliability at high transaction volume.
  • Establish and enforce data governance, quality, lineage, and security standards, ensuring compliance with relevant data privacy and payment regulations.
  • Build and empower a high-performing global data engineering team, fostering a culture of innovation, collaboration, and continuous learning.
  • Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other partners to ensure the data platform meets evolving analytical and operational needs.
  • Drive operational effectiveness through best practices, disciplined execution, and process improvements that increase pipeline reliability and reduce data downtime.
  • Translate business goals into actionable data engineering initiatives, ensuring technical direction supports personalization, growth, and decision-making across the company.
  • Provide clear communication and progress updates to the CTO and senior leadership.
  • Manage operating budgets and resources effectively, ensuring financial accountability and sustainable growth.
Skills & Experience
  • Proven Leadership: 13+ years in high-growth technology, including 7+ years leading data engineering or data platform teams at scale.
  • Data at Scale: Experience building and operating high-volume data platforms supporting consumer-facing, e-commerce, or transactional systems.
  • Strategic Execution: Demonstrated success defining and delivering data platform roadmaps, managing multiple initiatives end-to-end, and scaling data engineering organizations.
  • Technical Depth: Strong background with modern data stacks - data warehousing (Snowflake, Redshift, or BigQuery), orchestration (Airflow, dbt), streaming/event-driven systems (Kafka, Kinesis), and scalable cloud platforms (preferably AWS).
  • Data Infrastructure & Reliability: Expertise in data pipeline architecture, data quality frameworks, observability, CI/CD, and SRE practices to ensure high reliability and data trust.
  • Databases & Storage: Skilled with enterprise and NoSQL databases (Oracle, DynamoDB, Snowflake, etc.) and designing systems for personalization, analytics, and real-time decisioning.
  • Governance & Compliance: Experience implementing data governance, lineage, and security practices, including compliance with data privacy and payment card standards.
  • Agile & Operational Excellence: Deep knowledge of Scrum/Kanban with a proven ability to optimize processes, define KPIs, and improve delivery at scale.
  • Global Team Leadership: Success leading distributed, diverse teams worldwide, building collaborative, innovative, and high-performance cultures.
  • Cross-Functional Collaboration: Strong ability to partner with Data Science, Product, Engineering, and Business Operations to align data infrastructure with company priorities.
  • Vendor & Outsourcing Management: Experience managing third-party vendors and outsourcing partnerships, ensuring quality, accountability, and alignment with strategic goals.
Pay & Benefits
  • Pay Scale: $330,000 - $360,000
  • Bonus: Eligible under the current executive bonus plan
  • Benefits: Comprehensive package including:
    • Medical, dental, and vision insurance
    • Paid holidays, vacation, and sick time
    • Company-paid basic life insurance + voluntary life options
    • Parental leave
    • 401(k) plan
    • Flexible spending and health savings accounts
    • Wellness offerings

*Employer does not offer work visa sponsorship for this position.

What's in it for You?

  • Extraordinary People - we're not kidding!
  • Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
  • Development and Learning - Opportunities for learning and leveling up through training and education reimbursement.
  • Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

  

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves "Fanatix") who create groundbreaking products and services in a fun, fast-paced environment. 

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

 #LI-Hybrid