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Vp Of Data Science Jobs (NOW HIRING)

Kohl's

$165K - $212K/yr

In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and ... of data product managers, architects, engineers, and data scientists * Define and monitor KPIs for ...

Duolingo

VP of Finance

New York, NY · On-site

$330K - $550K/yr

The VP of Finance will also be at the forefront of enabling Finance with the thoughtful integration of AI, data science and automation. This role will be based in our New York City office on a hybrid ...

Coterie Applications, Inc.

VP, Data Science

Furthermore, the VP, Data Science will develop and mentor a team of highly technical individual contributors and people leaders while setting priorities for the design, documentation, review and ...

Parabilis Medicines

OR · On-site

The company has pioneered a new class of alpha-helical peptides - Helicons - capable of modulating ... The VP, Development Data Science will build and lead a cross functional data centric matrix to ...

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How much do vp of data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for vp of data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule suggests that roughly 80% of insights or value often come from 20% of the data or features. Data scientists focus on identifying the most impactful variables or data subsets to optimize model performance and efficiency.

What is the highest paid job in data science?

The highest paid roles in data science are typically senior executive positions such as Chief Data Officer (CDO) or Vice President of Data Science, with salaries often exceeding $200,000 annually. These roles require extensive experience, leadership skills, and expertise in advanced analytics, machine learning, and data strategy.

What is the difference between Vp Of Data Science vs Data Science Manager?

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

How much does a VP of data science make?

The salary for a VP of Data Science at major financial institutions like JP Morgan typically ranges from $150,000 to $250,000 annually, with additional bonuses and stock options often included. Compensation varies based on experience, location, and company size, and senior roles may also include performance-based incentives. Strong leadership, advanced analytics skills, and experience with big data tools are common requirements for this position.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

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

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What does a VP of data science do?

A VP of Data Science leads an organization’s data strategy, overseeing teams that develop models, analyze data, and generate insights to support business decisions. They manage data science projects, collaborate with other departments, and ensure the effective use of tools like machine learning and analytics platforms. Strong leadership, technical expertise, and strategic planning are essential for this role.
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What job categories do people searching Vp Of Data Science jobs look for? The top searched job categories for Vp Of Data Science jobs are:
Vp Of Data Science jobs near you
Infographic showing various Vp Of Data Science job openings in the United States as of June 2026, with employment types broken down into 8% Internship, 17% Full Time, 67% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Vice President of Data Operations

Texas State Library and Archives Commision

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

The client is growing and is looking for a motivated Vice President of Data Operations to lead their data infrastructure, governance, and analytics operations. This role ensures the integrity, availability, and usability of data across all business units and media platforms. The ideal candidate brings a blend of technical expertise, operational excellence, and strategic vision to scale data processes and drive client outcomes.
Main Duties and Responsibilities
  • Lead and evolve the agency's data architecture, warehousing, and ETL/ELT operations.
  • Oversee data governance, compliance (e.g., GDPR, CCPA), and quality assurance processes.
  • Lead ad operations strategy regarding trafficking, tagging, ad serving, and pixel implementation.
  • Partner with client strategy, media, and analytics teams to align data delivery with business objectives.
  • Manage cross-functional teams including data engineers, analysts, and operations staff.
  • Own vendor relationships and tool integrations/internal applications (e.g., Snowflake, BigQuery, Salesforce, Datorama, Power BI).
  • Streamline reporting workflows and ensure data consistency across internal and client-facing dashboards.
  • Build systems that support real-time insights and campaign performance analysis.
  • Develop and monitor KPIs to assess data pipeline performance and team efficiency.

Guide strategic initiatives for data automation, AI integration, media mix modeling, and attribution modeling
Preferred Skills & Experience
  • Experience with cloud environments (AWS, GCP).
  • Familiarity with identity resolution and CDP platforms.
  • Prior agency or consulting background strongly preferred.

Client-facing and pitch experience strongly preferred
Qualifications
  • 10+ years of experience in data operations, preferably in advertising, marketing, or digital media.
  • Proven leadership in managing data teams and enterprise-scale data environments.
  • Expertise in SQL, Python, and modern data stacks (e.g., dbt, Airflow, Fivetran).
  • Deep understanding of data privacy, compliance, and governance frameworks.
  • Strong project management and communication skills.
  • Experience working with custom multi-touch attribution, audience segmentation, and media performance data.

Extras That Make a Difference
We foster a culture that values connection, learning, and fun!
  • Free snacks (mostly healthy!)
  • Coffee Thursdays to fuel creativity

Benefits
  • Comprehensive medical benefits: health, dental, vision, life, and AD&D coverage
  • Generous vacation policy
  • Holiday PTO + Work-from-Home Fridays
  • Company contributions to 401(k) retirement savings
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