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Vice President Data Science Jobs in Springfield, MA

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 ...

This position reports to the EVP. Chief Technology Officer and directs the data teams. POSITION ... Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master ...

Special Assistant

Hartford, CT

$18.25 - $24.50/hr

The Chief of Staff & Associate Vice President of External Affairs is a senior administrative ... Annual Presidential Medal for Science & Innovation * Progress monitoring for event timelines ...

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 ...

Showing results 41-60

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 Aug 9, 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 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 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 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 most commonly searched types of Data Science jobs in Springfield, MA? The most popular types of Data Science jobs in Springfield, MA are:
What are popular job titles related to Vice President Data Science jobs in Springfield, MA? For Vice President Data Science jobs in Springfield, MA, the most frequently searched job titles 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,981 per year, or $75.5 per hour.

AVP, Software Engineering - Enterprise Reporting and Data (Hybrid - Hartford/Jersey City/Raleigh)

Archgroup

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 hours ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

The Assistant Vice President of Enterprise Reporting and Data leads enterprise reporting and data strategy across critical functions, including data engineering, data governance, agentic AI, business intelligence and reporting, actuarial data support, and specialized areas such as Ceded Reinsurance. This role owns end-to-end data and reporting platforms, ensuring scalable architecture, efficient operations, and business-aligned delivery across agile teams and vendor partners. The AVP also drives cross-functional collaboration, business value, compliance, and modernization across the data ecosystem, including Snowflake, Azure services, Databricks, Sigma, Python, Airflow, Collibra, Stibo, and Power BI.

In addition, the role is responsible for leading delivery, governance, and operational oversight across key enterprise data platform capabilities, including Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog. The AVP will provide leadership across Agile execution and solution architecture while ensuring strong platform design governance, scalability, and standardization. A core expectation is maintaining close proximity to delivery, actively guiding engineering teams and course-correcting execution when needed. The role partners directly with SVP-level stakeholders to drive requirement alignment, negotiation, and business outcomes rather than operating as an order-taker. It also plays a key role in advancing AI-enabled reporting and modernization efforts across the AINA data ecosystem while ensuring operational stability and compliance.

Responsibilities

Strategic Leadership & Governance

  • Set the vision and strategy for data initiatives across key product teams, including Enterprise Reporting, Ceded Reinsurance, and Actuarial IT.
  • Partner with senior business stakeholders to align data initiatives with enterprise goals.
  • Lead cross-functional agile teams to deliver high-quality data products and platforms that create business value.

Data Platform Oversight

  • Lead the roadmap, architecture, and lifecycle management of enterprise data platforms, including Snowflake-based data lakes, data warehouses, and Azure pipelines.
  • Ensure reliable development, deployment, and support of ETL/ELT frameworks using tools such as Snowflake, DBT, Databricks, Python, Qlik, Airflow, and ADF.

Business Intelligence & Reporting

  • Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions.
  • Partner with business teams to deliver actionable insights, self-service reporting, and financial and statutory reporting support.

Enterprise Data & Reporting Support

  • Provide strategic and technical leadership for teams supporting enterprise reporting and data, actuarial modeling, reserving data flows, and ceded reinsurance data provisioning.
  • Ensure timely, accurate, and audit-ready data for reporting platforms, actuarial processes, and reinsurance calculations and reporting.

Program Management & Delivery

  • Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution.
  • Ensure delivery complies with SOX, SOC 2, and NYDFS requirements.
  • Manage vendor relationships, contract negotiations, and budget planning.

Innovation, Modernization & Quality

  • Promote modern agentic AI, DevOps, CI/CD, Git, and orchestration practices across data engineering and reporting pipelines.
  • Drive innovation in AI/ML, data observability, and self-service capabilities to improve business outcomes.
  • Ensure strong documentation, test coverage, and audit trails across data processes and platforms.

Skills & Experience

  • 12+ years of experience in data platforms, data engineering, and business intelligence.
  • 7+ years of leadership experience managing multidisciplinary teams across data engineering, reporting, actuarial data, or reinsurance.
  • Strong experience in insurance (P&C), finance, actuarial, or risk domains is highly preferred.
  • Deep knowledge of cloud technologies, especially Azure and Snowflake, with familiarity in Power BI, SSIS, and SSRS.
  • Must demonstrate strong proximity to delivery (not just oversight), including ability to review code, guide engineering teams on "how to build," and step in to course-correct technical execution when needed.
  • Proven experience engaging directly with SVP-level stakeholders to drive and negotiate requirements, with accountability for outcomes rather than operating as a downstream delivery partner.
  • Working, hands-on proficiency in Python within data engineering contexts, with the ability to apply it in pipelines or guide teams in its practical use (not just theoretical exposure)
  • Experience with regulatory compliance and audit standards, including SOX, SOC 2, and NYDFS.
  • Proven success leading large-scale data transformation programs and cross-functional delivery teams.
  • Ability to mentor senior managers, architects, and subject matter experts, with strong stakeholder management and influencing skills.
  • Demonstrated experience building data capabilities and tools to support analytics, research, and actuarial functions in an insurance environment.
  • Strong proficiency in SQL, Python, or similar programming languages.
  • Experience with orchestration tools such as Airflow.
  • Experience with cloud platforms and tools such as Snowflake and Databricks.
  • Ability to work independently while managing priorities and collaborating across teams.
  • Excellent collaboration and relationship-building skills.
  • Comfort with ambiguity and the ability to break complex problems into manageable steps.
  • Strong analytical skills and the ability to derive insights from data.
  • Strong problem-solving and critical-thinking skills.
  • Excellent verbal and written communication skills, with the ability to tailor messages for technical and non-technical audiences, including senior executives.
  • Flexibility to adapt to changing priorities and requirements.
  • Ability to lead and mentor mid-level and junior team members in delivering high-quality solutions to complex business challenges.
  • Curiosity and creativity in exploring modern technologies and new data sources.
  • Ability to document data sources and technical solutions effectively.
  • Ability to balance competing priorities across portfolios and resources.
  • Ability to build strong partnerships across the organization to support strategic goals.
  • Commitment to continuously improving team capabilities and workflows.

Education

  • Master's or Bachelor's degree in computer science, data science, or a related field is required.

#LI-Hybrid
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

For Jersey City: $148,400 - $230,322/year

For Hartford: $133,500 - $207,289/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.