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Vice President Of Data Science Jobs (NOW HIRING)

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 ...

... power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

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 ...

... power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

... power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

NY · On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Science, Engineering or related quantitative field (Master's or PhD a plus). * 15+ years of ...

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Vice President Of Data Science information

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$43.5K

$157.5K

$277.5K

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

As of Aug 24, 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.

Vice President of Data, Performance & Technology

Windsor, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


Job description

Vice President of Data, Performance & Technology
Join Our Mission to Make a Lasting Impact!
Community Solutions Inc is seeking a Vice President of Data, Performance & Technology to join our leadership team, responsible for strengthening organizational effectiveness through the integration of data, quality systems, and technology, based in our Corporate Office in Windsor, CT. This is a senior leadership role responsible for driving organizational effectiveness by integrating data, quality systems, and technology. This role partners with leadership across programs and operations to strengthen outcomes, ensure compliance, and support data-informed decision-making across the organization.
This role drives performance, accountability, and continuous improvement across the organization by ensuring that leaders and teams have the insights, systems, and tools needed to deliver high-quality services, meet contract requirements, and achieve measurable outcomes.
Serves as a key strategic partner to program, finance, and executive leadership-translating data into actionable insights, aligning systems to operations, and building a culture of data-informed decision-making.
Company Overview
Community Solutions Inc. (CSI) is a nonprofit organization that promotes the responsible citizenship, accountability, and well-being of individuals and families involved, or at risk of involvement, in the child welfare, juvenile justice, or criminal justice system. Since CSIs founding in 1962, it has been a pioneer in community-based services. We have been delivering supervision, treatment, and comprehensive individualized services to help clients interact more effectively in their communities and become productive citizens. Using this plan, we built the first ever halfway house in New England which has now been replicated and grown to almost 50 programs in 9 states. For over 50 years, CSI has been building upon its successful foundations and has been expanding its services to serve thousands of adults, youth, and families each year. To learn more about CSI please visit our website at https://csi-online.org.
CSI understands clients and staff have been impacted by trauma. CSI is becoming a trauma-informed organization by hiring individuals with existing experience in trauma-informed practices as well as supporting ongoing staff development with trauma-informed practices. This will include learning to recognize symptoms of trauma and how to respond, through training starting at orientation and throughout their career at CSI.
CSI is committed to systematically evaluating the integration of the trauma-informed values of safety, trustworthiness, choice, collaboration, and empowerment at all levels of the organization's policies, procedures, and structures to guard against the possibility of re-traumatization.
Schedule: 40 Hours / week
This position does have supervisory responsibilities.
The primary responsibilities for this position will be:
Performance & Outcomes
  • Lead the development and implementation of performance measurement frameworks across programs
  • Ensure clear, consistent tracking of program outcomes, contract metrics, and organizational goals
  • Partner with senior leadership to identify performance trends, risks, and opportunities

Data & Analytics
  • Oversee data collection, validation, analysis, and reporting across the organization
  • Develop dashboards and reporting tools that support real-time decision-making
  • Translate complex data into clear, actionable insights for diverse audiences

Quality Improvement & Compliance
  • Lead organization-wide quality improvement strategies and processes
  • Ensure alignment between program practices, policy expectations, and regulatory requirements
  • Strengthen systems for monitoring compliance, audit readiness, and continuous improvement

Technology & Information Systems
  • Provide strategic oversight of IT infrastructure, support services, and system security
  • Oversee enterprise systems (e.g., case management, LMS, HRIS, fundraising platforms, M365) to ensure alignment with operational needs
  • Drive system optimization, adoption, and continuous improvement in partnership with departments

Cross-Functional Leadership
  • Partner closely with Program, HR, Finance, and Growth leadership to align data, systems, and performance expectations
  • Support program leaders in using data to improve service delivery and staff performance
  • Lead and develop a multidisciplinary team including quality improvement, IT, and information systems staff

Leadership Expectations
  • Build a culture of accountability, learning, and continuous improvements
  • Communicate clearly and effectively across all levels of the organization
  • Balance strategy and execution-able to move from vision to implementation
  • Demonstrate sound judgment in complex, cross-functional decision-making

Qualifications
Required
  • Bachelor's degree in a relevant field (e.g., data analytics, public administration, information systems, social services, or related field)
  • 7-10+ years of progressively responsible leadership experience
  • Experience overseeing data, quality improvement, or technology functions in a complex organization
  • Strong ability to analyze data and translate insights into operational action
  • Experience leading cross-functional initiatives and teams

Preferred
  • Experience in human services, behavioral health, justice, or nonprofit environments
  • Familiarity with contract compliance, licensing, and/or accreditation standards
  • Experience with enterprise systems (e.g., case management systems, HRIS, LMS, Power BI)
  • Advanced degree (MPA, MBA, MPH, or related field)

Additional Benefits
  • Two (2) weeks' vacation accrued within the first year, bumped to three (3) weeks accrual after 1 year of service.
  • Ongoing training.
  • Sick time (7 days accrual basis), floating holiday time (4 days/year).
  • Medical and Dental plans.
  • Voluntary plan options for: Vision, FSA, voluntary STD, Accident, Hospital, Life insurance and AD&D.
  • 401(k) Retirement savings plan with automatic enrollment and a company match of 100% up to 4% of your contribution.
  • Tuition reimbursement after 1 year of service.

CSI is an Equal Opportunity Employer - M/F/Disability/Vet. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.