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Data Science Project Manager Jobs in Vermont (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Montpelier, VT

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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Data Science Project Manager information

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$17

$61

$85

How much do data science project manager jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science project manager in Vermont is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $71.59 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

What are popular job titles related to Data Science Project Manager jobs in Vermont?

For Data Science Project Manager jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in Vermont look for?

The top searched job categories for Data Science Project Manager jobs in Vermont are:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $127,183 per year, or $61.1 per hour.

Maximo Techno-Functional Project Manager

PB consulting

Corinth, VT

Full-time

Posted 3 days ago

New

Job description

We are seeking a Maximo Techno-Functional Project Manager with strong experience in IBM Maximo implementation, configuration, integrations, and enterprise asset management, combined with proven project management skills.

Required Technical/Functional Skills
  • Strong hands-on experience with IBM Maximo 7.x and Maximo Application Suite (MAS) 8/9.
  • Experience with Enterprise Asset Management (EAM) and linear asset management.
  • Strong knowledge of Maximo integrations and data migration.
  • Understanding of Maximo architecture, Oracle, SQL, and DB2.
  • Experience with Automation Scripts and Java customization.
  • Knowledge of IoT integrations, IBM MQ, and REST APIs.
  • Strong Agile and Waterfall project management experience.
  • Experience managing enterprise projects across multiple workstreams and teams.
Roles & Responsibilities
  • Lead Maximo EAM initiatives and provide techno-functional leadership.
  • Manage project plans, schedules, dependencies, budgets, and parallel workstreams.
  • Coordinate with business stakeholders, technical teams, vendors, and implementation partners.
  • Define and prioritize deliverables while ensuring stakeholder alignment.
  • Oversee Maximo implementation, configuration, integration, and data migration activities.
  • Monitor Enterprise Project Management (EPM) schedules and project milestones.
  • Identify and mitigate project risks to minimize schedule and cost overruns.
  • Ensure quality deliverables and adherence to project standards and governance.
  • Provide technical guidance on Maximo architecture, integrations, customization, and troubleshooting.
  • Drive project status reporting, issue resolution, and stakeholder communication.

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