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Data Science Project Manager Jobs (NOW HIRING)

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

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 ...

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Data Science Project Manager information

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

As of Jun 24, 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 is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
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Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Technical Project Manager (Data Science)

Technical Project Manager (Data Science)

Vizient, Inc.

Centennial, CO • On-site

$77K - $135K/yr

Other

Posted 5 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary: In this role, you will lead complex, enterprise-level technology initiatives within Data Science. You will partner closely with Data Science leadership, business stakeholders, architects, engineers, and external vendors to deliver projects that support Vizient's strategic priorities and long-term technology roadmap. You will ensure projects are delivered on time, within scope, and aligned with operational, security, and architectural standards while regularly communicates project progress, risks, and mitigation strategies.

Responsibilities: Lead cross-functional Data Science projects from initiation to implementation and operational transition utilizing various methodologies. 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.

Proactively manage risks, issues, dependencies, and change requests. 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, SOWs, and integration activities. Qualifications: Relevant degree preferred in Computer Science, Information Systems, Engineering, Business, or related field 2 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 projects is 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.

Proficiency with Smartsheet, MS Project, Jira, ServiceNow, or similar PM tools. Strong communication and stakeholder management skills, including executive-level updates. PMP, PgMP, or PMI-ACP certification highly preferred.

Experience supporting healthcare, analytics, or SaaS-based environments preferred. Experience working within Complex IT processes, architecture, and governance preferred. 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. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range.

Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00. This position is also incentive eligible

Vizient has a comprehensive benefits plan. Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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