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Vice President Data Science Jobs in Springfield, MA

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

$182K - $273K/yr

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

Deloitte

Salesforce CTA, Associate Vice President

Hartford, CT · On-site

$56 - $74.25/hr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

Oscar Health

Director, Internal Audit

Hartford, CT · On-site

$180K - $236K/yr

You will report into the VP, Internal Audit and Enterprise Risk. Work Location: This is a remote ... Data & analytics This is an authentic Oscar Health job opportunity. Learn more about how you can ...

Oscar Health

Director, Internal Audit

Hartford, CT · Remote

$180K - $236K/yr

You will report into the VP, Internal Audit and Enterprise Risk. Work Location: This is a remote ... Data & analytics This is an authentic Oscar Health job opportunity. Learn more about how you can ...

Valley Health Systems

Scheduling Coordinator

Holyoke, MA · On-site

$17.50 - $22/hr

Responsible for providing nurse directors/leaders and Vice President of Patient Care Services with ... processing, data base systems preferred Experience: Minimum 2 years experience in health care ...

Valley Health Systems

Scheduling Coordinator

Holyoke, MA · On-site

$17.50 - $22/hr

Responsible for providing nurse directors/leaders and Vice President of Patient Care Services with ... processing, data base systems preferred Experience: Minimum 2 years experience in health care ...

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All JobsVice President Data Science JobsVice President Data Science Jobs in Springfield, MA

Vice President Data Science information

See Springfield, MA salary details

$42.3K

$153.3K

$270.1K

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

As of Sep 4, 2026, the average yearly pay for vice president data science in Springfield, MA is $153,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $184,900.00 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 data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

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.

More about Vice President Data Science jobs

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:

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For Vice President Data Science jobs in Springfield, MA, the most frequently searched job titles are:

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Vice President Data Science jobs near you
Infographic showing various Vice President Data Science job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $156,981 per year, or $75.5 per hour.

Senior Calculation Platform Modernization Developer / Engineer

Computer Merchant, Ltd., The

Springfield, MA • On-site

$95 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Key responsibilities

  • Assess the technical architecture of the existing calculation platform, including documentation of current-state flows, dependencies, and customizations.

  • Evaluate upgrade options for the Financial Design GUI and calculation engine components, and identify modernization constraints.

  • Produce discovery documentation, including requirements, stakeholder inputs, gaps, risks, and roadmap recommendations for modernization.

Job description

JOB TITLE: Senior Calculation Platform Modernization Developer / Engineer
JOB LOCATION: Remote
WAGE RANGE*: $95 - 100/hr. W2 only
JOB NUMBER: 37534082
REQUIRED EXPERIENCE:
  • 10+ years of enterprise software engineering, architecture, or legacy-system modernization experience.
  • Calculation systems
  • Experience with product calculation engines, rules engines, pricing logic, projections, or highly configurable business rules platforms.
  • BA/discovery skillset
  • Required for all Developer candidates as well: stakeholder interviewing, requirement elicitation, process and dependency mapping, current-state documentation, gap/risk identification, and business-facing recommendations.
  • Integration architecture
  • Strong understanding of APIs, service orchestration, data contracts, dependency mapping, and enterprise integration patterns.
  • Legacy assessment
  • Ability to reverse engineer older platforms, document technical debt, identify coupling, and recommend phased modernization options.
  • Insurance technology
  • Experience in life insurance, annuities, illustrations, product definition, policy administration, or financial services technology.
  • Communication
  • Ability to translate technical findings into executive-ready recommendations, risks, and roadmap options.

Preferred Skills / Nice-to-Have Experience:
  • Dimension
  • Expectation
  • VP/MS or DXC platforms
  • Hands-on experience with DXC VP/MS, Vantage, Assure Product, or comparable product/modeling platforms.
  • BIRT reporting & Office 365
  • Experience with BIRT report engine configuration, templates, data sources, rendering, or modernization.
  • Along with O365 Expert knowledge.
  • AI-assisted engineering
  • Practical use of Claude AI, GitHub Copilot, or similar tools for code analysis, refactoring, documentation, and POC acceleration.
  • Cloud/API modernization
  • Experience designing modular product services, calculation services, decision services, or strangler-pattern modernization approaches.

Expected Deliverables:
  • Technical architecture assessment for calculation platform, Design GUI, reporting, and integration dependencies.
  • Inventory of critical VP/MS customizations, interfaces, calculation touchpoints, and modernization constraints.
  • BA-quality discovery documentation including requirements, stakeholder inputs, current-state flows, gaps, and risks.
  • Upgrade options analysis for Financial Design GUI and calculation engine components.
  • Conceptual target-state architecture for modular product rules, pricing, scenario, and calculation services.
  • Risk, dependency, validation, and sequencing recommendations for phased modernization.

Engagement Success Criteria
  • Technical discovery produces enough detail to support vendor sizing, roadmap planning, and architecture decisions.
  • Has clear recommendations on what to wrap, refactor, upgrade, prototype, or defer.
  • Risk areas such as calculation/result parity, actuarial validation, reporting dependencies, and integration complexity are clearly identified.
  • Developers can operate independently in discovery conversations, not just implementation tasks.

Vendor Notes:
  • This role should be senior enough to operate as both technical investigator and architecture partner.
  • Vendor submissions should not include purely hands-on coders unless they also have BA/discovery capability.
  • Experience with insurance calculation platforms is preferred over generic rules-engine exposure.
  • SME guidance will be available from Product Owners, Calculation SMEs/Leads, Enterprise Architects, Solution Architects, BIRT SMEs, Engineering Leads, and QA partners; resources must be collaborative and able to convert SME input into clear discovery outputs and roadmap recommendations.

Education: BA
JOB DESCRIPTION: A senior calculation systems Developer/Architect to support technical discovery and modernization planning for the enterprise calculation platform. The role will assess the existing DXC VP/MS-powered calculation ecosystem, understand Financial customizations, evaluate upgrade options for Financial Design GUI and the calculation engine, and help define a future-state service-based architecture.
  • Modernization Context Area
  • Positioning
  • Modernization context
  • Client is evaluating upgrades to Design GUI, report generation capabilities, and the calculation engine currently powered by DXC VP/MS with Financial customizations.
  • Target direction
  • Support a more modular, API-driven product calculation and rules capability that can be wrapped, abstracted, and incrementally modernized.
AI expectation :
  • Use AI-assisted analysis and development tools such as Claude AI and GitHub Copilot, where appropriate, to accelerate discovery, documentation, code analysis, and prototyping.

Primary outcome :
  • Produce actionable discovery findings, options, risks, dependencies, and roadmap recommendations for Financial planning and vendor alignment.

Key Responsibilities :
  • Analyze the technical architecture of the existing calculation platform, including VP/MS model usage, integration points, data inputs, and calculation outputs.
  • Reverse engineer Financial-specific customizations, interfaces, and dependencies around the DXC VP/MS-powered calculation engine.
  • Perform BA-style discovery with business and technical stakeholders to capture requirements, pain points, current-state flows, and decision points.
  • Evaluate technical upgrade paths for Financial Design GUI and related calculation authoring or modeling capabilities.
  • Assess API, service, batch, reporting, and downstream integration touchpoints that depend on calculation outputs.
  • Partner with BIRT reporting SMEs to understand report engine integration points, data dependencies, and upgrade considerations.
  • Identify candidate areas for wrapping, abstraction, modularization, or replacement using product rules, pricing, projection, and scenario services.
  • Use Claude AI, GitHub Copilot, and approved tools to accelerate code analysis, documentation, and proof-of-concept work.

Skills:
Required Skills / Experience:
  • Dimension

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
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