1

Data Science Project Manager Jobs (NOW HIRING)

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

... data science project lifecycles, from ideation to production, ensuring alignment with business ... and stakeholder management skills. Preferred : • Semiconductor industry experience. • ...

The Manager of Data Science is responsible for coordinating the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner ...

next page

Showing results 1-20

Data Science Project Manager information

See salary details

$16

$57

$80

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

As of May 31, 2026, the average hourly pay for data science project manager in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

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.

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 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.

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.

More about Data Science Project Manager jobs
What cities are hiring for Data Science Project Manager jobs? Cities with the most Data Science Project Manager job openings:
What states have the most Data Science Project Manager jobs? States with the most job openings for Data Science Project Manager jobs include:
Senior Technical Project Manager (Data Science)

Senior Technical Project Manager (Data Science)

Vizient, Inc

Chicago, IL • On-site

$113.90K - $156.20K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
Vizient, Inc is dedicated to fostering an inclusive environment for its employees, providing opportunities for personal and professional development. In this role, you will lead complex, enterprise-level technology initiatives within Data Science, ensuring projects align with strategic priorities and are completed on time and within scope.
Responsibilities:
• Lead cross-functional Data Science projects from initiation through implementation and operational transition.
• Develop project artifacts including charters, schedules, budgets, status reports, and risk registers.
• Drive accountability across technical teams, vendors, and business stakeholders.
• Serve as primary liaison between business owners, Data Science teams, and vendors.
• Facilitate project meetings, executive updates, and decision-making forums.
• Communicate project status, risks, and mitigation plans to leadership and executives.
• Manage risks, issues, dependencies, and change requests proactively.
• Ensure project objectives align with business outcomes and enterprise technology strategy.
• Partner with enterprise architects, infrastructure, and Data Science teams to ensure compliance with standards.
• Translate technical concepts into business-focused communication for executives and non-technical stakeholders.
• Oversee vendor deliverables, statements of work, and integration activities.
Qualifications:
Required:
• 5 or more years of relevant experience with IT/Data Science project management and demonstrated success leading enterprise technical initiatives is required.
• Experience leading small and large enterprise-level technical projects required.
• Experience working in a matrixed environment with cross-functional teams.
• Strong understanding of Software Development Life Cycle (SDLC), infrastructure, cloud technologies, and enterprise platforms.
• Strong communication and stakeholder management skills, including executive-level presentations.
• Experience working within complex IT processes, architecture, and governance, with demonstrated ability to take ownership, work independently, and drive results in a fast-paced environment.
• Ability to manage multiple priorities, balance competing demands, and meet deadlines.
Preferred:
• Relevant degree preferred.
• Proficiency with project management tools such as Smartsheet, MS Project, Jira, or Azure DevOps highly preferred.
• PMP, PgMP, or PMI-ACP certification preferred.
• Experience supporting healthcare, analytics, or SaaS-based environments preferred.
Company:
Vizient, Inc., the nation’s largest provider-driven healthcare performance improvement company, provides solutions and services to more than two-thirds of the nation’s acute care providers and more than one-third of ambulatory providers. Founded in 1977, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.