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Vp Of Data Science Jobs (NOW HIRING)

Stord

VP of Data (Atlanta)

Atlanta, GA · On-site

Decision Science - Establish a decision science function that drives operational improvements and ... You'll be the first VP of Data, reporting directly to the SVP of Product & Engineering, inheriting ...

New

Chubb

SVP, Data Science

Boston, MA

As part of the North America Data & Analytics leadership team and Head of Data Science for PRS ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

Conga

VP of Data Architecture

Boston, TX · Remote

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.

Chubb

SVP, Data Science

Boston, MA · On-site

$249K - $333K/yr

As part of the North America Data & Analytics leadership team and Head of Data Science for PRS ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

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 · On-site

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 ...

Duolingo

VP of Finance

New York, NY · Hybrid

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 ...

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 ...

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 ...

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All JobsVp Of Data Science Jobs

Vp Of Data Science information

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$41.5K

$142.5K

$201K

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

As of Jul 6, 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 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.

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 is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.
More about Vp Of Data Science jobs
What cities are hiring for Vp Of Data Science jobs? Cities with the most Vp 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 Vp Of Data Science jobs? States with the most job openings for Vp Of Data Science jobs include:
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 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
VP of Data - Engineering, Analytics & Business Intelligence

VP of Data - Engineering, Analytics & Business Intelligence

Avidia Bank

Hudson, MA

$150K - $180K/yr

Other

Posted 8 days ago

Job description

Description

Job Summary

The Vice President of Data Engineering, Analytics & Business Intelligence provides strategic leadership and execution for the organization's data ecosystem-including data engineering, data analytics, and business intelligence. This role is responsible for shaping the enterprise data strategy, modernizing data platforms, establishing data governance and engineering standards, and enabling advanced analytics and BI capabilities that drive operational excellence and business growth. The VP oversees the design, development, and delivery of high quality data products, predictive models, BI solutions, and automated data pipelines that empower stakeholders with timely, trusted, and actionable insights.

Key Responsibilities

Strategic Leadership & Vision

  • Lead and evolve the enterprise data engineering, analytics, and BI functions to support the bank's strategic goals.
  • Define and implement a unified data strategy, including data architecture, governance, and platform modernization.
  • Drive innovation in data practices, automation, and analytics to support digital transformation initiatives.

Data Engineering & Platform Management

  • Oversee the design, build, and optimization of scalable data pipelines, ETL/ELT processes, and cloud data platforms.
  • Ensure the reliability, performance, and scalability of the enterprise data environment (e.g., Snowflake, Talend, ALTR).
  • Oversee IT and data engineering teams to maintain strong data infrastructure and ensure system interoperability.
  • Establish best practices for data ingestion, integration, quality, lineage, and metadata management.

Analytics & Data Science

  • Architect and guide the development of advanced analytics, predictive models, and statistical methodologies.
  • Lead the creation of standardized, high quality data sets to support enterprise reporting and analysis.
  • Deliver actionable insights that inform strategic decision making and identify business opportunities.

Business Intelligence & Visualization

  • Develop and maintain enterprise BI tools, dashboards, and reporting solutions (e.g., Power BI, Core Banking BI tools).
  • Ensure BI solutions meet business needs and provide intuitive, meaningful visualizations for stakeholders.
  • Promote BI self service adoption and data literacy across the organization.

Team Leadership & Collaboration

  • Build, mentor, and lead high performing teams across data engineering, analytics, and business intelligence.
  • Drive cross functional collaboration to ensure alignment between data initiatives and business objectives.
  • Serve as a trusted advisor to senior leadership, providing clear insights and data driven recommendations.

Governance, Compliance & Security

  • Ensure data integrity, accuracy, and security across all data processes, platforms, and products.
  • Uphold compliance with banking regulations and data related policies.
  • Establish and enforce enterprise data standards, including governance frameworks and quality controls.


Requirements

  • Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
  • 8+ years of progressive experience in data engineering, analytics, or data science, with at least 5 years in a leadership role. Banking industry experience preferred. 
  • Strong expertise in modern data platforms and tools (Snowflake, Qlik/Talend, Power BI, ALTR, cloud data ecosystems).
  • Demonstrated experience leading both data engineering, analytics, and BI teams.
  • Deep knowledge of data modeling, statistical techniques, and data architecture best practices.
  • Excellent communication, leadership, and stakeholder engagement skills.

Avidia Bank is an Equal Opportunity Employer/Veterans/Disabled

Member FDIC/DIF


PM21

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