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Data Science Manager Jobs in Burlington, VT (NOW HIRING)

Amgen

Strategic Sourcing Manager

Burlington, VT

$129K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Leverage data and market insights to support strategic sourcing decisions. * Partner with cross ...

Danaher

Product Manager Internships

Burlington, VT · On-site

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Colchester, VT · On-site

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Champlain College

Adjunct Instructor

Burlington, VT · On-site

Data Science & Analytics * Business and Marketing Qualifications (vary based on discipline ... To streamline our hiring process and ensure fairness for all candidates, we manage all recruitment ...

Old Dominion Freight Line, Inc.

Database Associate

Milton, VT · On-site

$57K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Help ensure data security by managing access controls and user permissions. * Document processes ... Bachelor's degree in computer science or related field, or equivalent combination of education and ...

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Showing results 41-60

All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Burlington, VT

Data Science Manager information

See Burlington, VT salary details

$30.6K

$95.7K

$169.5K

How much do data science manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science manager in Burlington, VT is $95,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Burlington, VT?

The most popular types of Data Science jobs in Burlington, VT are:

What job categories do people searching Data Science Manager jobs in Burlington, VT look for?

The top searched job categories for Data Science Manager jobs in Burlington, VT are:

What cities near Burlington, VT are hiring for Data Science Manager jobs?

Cities near Burlington, VT with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Burlington, VT as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $95,736 per year, or $46 per hour.

Salesforce COE Leader - Life Sciences

Capgemini

Burlington, VT • On-site

Full-time

Re-posted 21 days ago

Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services

Job description

Job Summary:
Capgemini is a global business and technology transformation partner, and they are seeking a Salesforce COE Leader for the Life Sciences portfolio. The role involves driving pre-sales pursuits, providing delivery oversight, and ensuring the technical integrity and quality of solutions delivered to clients.
Responsibilities:
• Lead solutioning, architecture, and estimation for Life Sciences pursuits.
• Own the technical and solution narrative across RFP responses, proposals, and orals.
• Partner with sales teams on pipeline development, qualification, and deal shaping.
• Build SOWs, delivery approaches, and staffing models that are accurate and deliverable.
• Run client discovery workshops and advisory sessions; translate business needs into Salesforce solutions.
• Develop and maintain Salesforce seller relationships in Life Sciences to advance pursuits.
• Provide architectural governance and quality assurance across Life Sciences engagements.
• Serve as senior escalation point for delivery, risk, and solution integrity.
• Validate that delivery teams execute against the sold solution, scope, and estimate.
• Mentor delivery architects and leads; resolve cross-engagement technical issues.
• Build reusable assets, accelerators, and methodologies tailored to Life Sciences.
• Develop point-of-view and thought leadership for the sector.
• Grow Life Sciences capability through recruiting, mentoring, and capability planning.
• Maintain current expertise across the Salesforce Life Sciences product roadmap.
Qualifications:
Required:
• 10+ years in the Salesforce ecosystem in consulting or delivery roles.
• Deep Life Sciences industry experience (pharma, biotech, and/or medical devices).
• Proven solution architecture across relevant clouds: Health Cloud / Life Sciences Cloud, Sales Cloud, Service Cloud, Data Cloud.
• Demonstrated pre-sales leadership: RFPs, proposals, estimation, and client-facing solutioning.
• Delivery leadership at program scale: governance, quality assurance, and risk management.
• Working knowledge of regulated environments — GxP, 21 CFR Part 11, computer system validation (CSV).
• Active Salesforce certifications (Application and/or System Architect track).
• Strong executive communication and the ability to lead the room with senior client stakeholders.
Preferred:
• Veeva experience, including Veeva-to-Salesforce migration or coexistence.
• Agentforce and applied AI on the Salesforce platform.
• Data Cloud architecture (zero-copy, federation, harmonization).
• MuleSoft or enterprise integration design.
• Salesforce Life Sciences industry credentials or accreditations.
Company:
Capgemini is a software company that provides consulting, technology, and digital transformation services. Founded in 1967, the company is headquartered in Paris, FRA, with a team of 10001+ employees. The company is currently Late Stage.

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