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Vice President Data Science Jobs in Springfield, MA

The VP, Reserving Innovation & Data, will play a critical role in shaping this function. They will ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

The VP, Reserving Innovation & Data, will play a critical role in shaping this function. They will ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

VP Enterprise AI Enablement

Hartford, CT · On-site

$275K - $315K/yr

Job Purpose The Vice President, Enterprise AI Enablement is accountable for defining, governing ... Establish enterprise standards for responsible AI, data usage, security, privacy, and risk ...

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Showing results 1-20

Vice President Data Science information

See Springfield, MA salary details

$43.3K

$157K

$276.5K

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

As of May 29, 2026, the average yearly pay for vice president data science in Springfield, MA is $156,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $189,300.00 per year, depending on experience, location, and employer.

What Does a Vice President of Data Science Do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

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

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a Vice President of Data Science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

What are the most commonly searched types of Data Science jobs in Springfield, MA? The most popular types of Data Science jobs in Springfield, MA are:
What job categories do people searching Vice President Data Science jobs in Springfield, MA look for? The top searched job categories for Vice President Data Science jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Vice President Data Science jobs? Cities near Springfield, MA with the most Vice President Data Science job openings:
Infographic showing various Vice President Data Science job openings in Springfield, MA as of May 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $156,981 per year, or $75.5 per hour.

Vice President, Workplace Data Science & AI Execution

FAVARH

Windsor, CT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Role Overview
The Vice President, Head of Data Science & AI Execution will lead the rapid delivery of data science, advanced analytics, and applied machine learning capabilities across the Workplace Solutions business, including retirement, wealth management, employee benefits, and benefits administration. Reporting to the CTO of Workplace Solutions, this leader is accountable for accelerating the execution of highimpact data science use cases that drive plan sponsor growth and retention, improve advisor and intermediary productivity, and enhance participant and employee experiences. This leader is handson, agile, and executionoriented, partnering closely with peers across Technology, Product, Data Engineering, Distribution, Operations, Risk, and Compliance to move analytics initiatives from idea to production with speed and discipline.

Key Responsibilities

Data Science Strategy with a Bias for Execution
Define and execute the data science strategy aligned with the Workplace Solutions technology and business roadmap.
Drive endtoend execution of analytics and machine learning use cases, from problem definition through deployment and scaling.
Prioritize use cases based on speedtovalue, business impact, and scalability.
Serve as a trusted advisor to the CTO on data science investments, sequencing, and delivery tradeoffs.

CrossFunctional Delivery & Partnerships
Partner with peers across Product, Engineering, Data Platforms, Distribution, Operations, and Marketing to coown analytics outcomes.
Lead execution of advanced analytics and select AIenabled capabilities, including:
- Predictive modeling and decision intelligence
- Workflow automation and intelligent document processing
- Targeted insights for advisors, intermediaries, and participants
Establish clear ownership models, operating rhythms, and delivery accountability across teams.

Growth, Retention & Intermediary Enablement
Rapidly deliver data science capabilities that support:
- Plan sponsor acquisition, retention, and expansion
- Lead scoring, propensity modeling, and churn prediction
- Crosssell and upsell across retirement, wealth, and benefits offerings
Improve advisor and intermediary productivity through datadriven insights, recommendations, and workflow integration.

Agile Delivery & Operating Model
Establish an agile, productoriented operating model for data science delivery.
Shorten cycle times from ideation to production through reusable components, shared platforms, and pragmatic governance.
Create a culture of experimentation with clear success metrics and fast decisions.

Governance Without Friction
Implement scalable, riskaware governance frameworks that support rapid deployment of analytics and machine learning solutions.
Ensure explainability, fairness, privacy, and security without creating delivery bottlenecks.
Partner with Risk and Compliance to standardize fast approval paths for repeatable patterns.

Qualifications

Required
12-15 years of experience in data science, advanced analytics, or machine learning, with 5+ years in leadership roles.
Demonstrated success delivering analytics and ML initiatives at scale in partnership with crossfunctional leaders.
Proven ability to accelerate delivery of highvalue use cases with measurable business impact.
Experience driving growth, retention, and intermediary productivity through datadriven solutions.
Deep experience in workplace retirement, wealth management, employee benefits, or benefits administration.
Strong track record operating in regulated environments with a bias for speed and outcomes.

Experience influencing without direct authority across complex organizations.

Experience building enterprise data science platforms and reusable capabilities.
Familiarity with modern MLOps and model governance frameworks.

Preferred
Advanced degree in a quantitative or technical field.

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Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$230,390 - $287,990 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

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