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Vp Data Science Jobs in Boston, MA (NOW HIRING)

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners to design end-to-end processes that solve business challenges * Lead a team of Data Engineers and ...

HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

Vice President

Boston, MA · On-site

$250K/yr

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

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Vp Data Science information

See Boston, MA salary details

$45.1K

$154.8K

$218.4K

How much do vp data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for vp data science in Boston, MA is $154,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $180,900.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Boston, MA?

The most popular types of Data Science jobs in Boston, MA are:

What are popular job titles related to Vp Data Science jobs in Boston, MA?

For Vp Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Vp Data Science jobs in Boston, MA look for?

The top searched job categories for Vp Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Vp Data Science jobs?

Cities near Boston, MA with the most Vp Data Science job openings:

Infographic showing various Vp Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,769 per year, or $74.4 per hour.

SVP, PRS - Data Science

Chubb

Boston, MA • On-site

Full-time

Re-posted 20 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

144th of 310 rated insurance


Job description

North America Insurance is Chubb's largest division comprising commercial and consumer P&C insurance businesses in the United States, Canada, and Bermuda. The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as Homeowners and Auto. Although pricing will be a heavy focus, this position will also work with other forms of models, e.g. underwriting models, customer segmentation, lifetime value, customer journey, and operational analytics. 

Responsibilities:

As part of the North America Data & Analytics leadership team you will be responsible for working collaboratively with business unit leaders to achieve ambitious business plans through talent development and placement. Drive adoption, change, and increase the level of insight and intelligence available to the product team, UWs, and others, through:

The successful candidate is a seasoned leader with deep expertise in data science, model development, and management. This role is primarily responsible for advancing Personal Lines products, including Homeowners and Auto. Functional capabilities of the position encompass work owning and driving successful completion of underwriting models, customer segmentation, lifetime value, customer journey analytics, and as well helping to shepherd the deployment of AI technologies. 

Reporting lines are to the Executive Vice President, Data and Analytics, N.A. and to the EVP, PRS Finance Product and Analytics Officer.

As the SVP Data Scientist for Personal Lines (PRS), you will:

  • Collaborate with business partners to design end-to-end processes that solve business challenges
  • Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate results to senior leaders, with a focus on PRS
  • Coach and mentor junior and senior Data Scientists on technical skills and career development
  • Serve as a thought leader and strategy lead for the Data Science discipline within PRS
  • Shape hiring, retention, and placement strategies for Personal Lines data scientists
  • Advise on upskilling, tools, and platforms for the PRS data science workforce
  • Provide thought leadership on data modeling and modeling techniques
  • Enable expanded modeling capabilities and variable exploration within the PRS ecosystem
  • Enhance customer, distribution, and digital intelligence
  • Deepen insights aligned with strategic plan objectives
  • Expand customer lifetime value analytics
  • Utilize AI and third-party data to optimize the Valuables business
  • Improve insured-to-value insights and modeling
  • Support PRS opportunity geography insights and strategy
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
  • 10+ years of experience in Data and Analytics leadership, or as a Data Science leader
  • Bachelor's degree or equivalent work experience; Master's degree preferred
  • Expertise in advanced and emerging analytical tools, such as web scraping, machine learning models, and knowledge graphs
  • Experience providing data-driven consultation to business unit leaders, either internally or as an external consultant
  • Background in developing analytics products, including querying tools, dashboards, applications, and business insights
  • Demonstrated ability in Data Science solution delivery
  • Strong ability to set execution plans, monitor progress, and drive actions for successful outcomes across asset development and deployment phases
  • Excellent communication skills and insurance knowledge; pricing experience required
  • Proven track record managing competing priorities with multiple deliverables and deadlines
  • Experience working with interdisciplinary teams, particularly in leadership roles, to achieve project completion and establish productive relationships with stakeholders
  • Prior management experience required
  • Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and QlikView is a plus
  • Strong verbal and written communication skills; ability to present complex issues in a manner easily understood by non-technical audiences
  • Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions

The pay range for the role is $249,000 to $333,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.  Chubb offers a comprehensive benefits package, more details on which can be found on our careers website.  The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.


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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US