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Data Science Project Manager Jobs in Phoenix, AZ

LiveMindz

Senior Project Manager

Phoenix, AZ · On-site

Senior Project Manager Job Locations: Phoenix, AZ, USA Required Experience: 8 - 10 Years Skills ... Serve as a scrum master to work across data science and data analytics to facilitate planning and ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

Judge Group, Inc.

Data Project Manager

Phoenix, AZ · On-site

$65 - $75/hr

Data Project Manager Location: Hybrid Phoenix Full Time Job: Contract Salary: $65hr-$75hr Contact: Ryan Griffin Project Manager, Enterprise Data & Systems About the Role As a Project Manager ...

Ports North

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

... science solutions. * Strong stakeholder management and communication skills with the ability to ... SQL data warehouses * Ability to clearly explain past projects, business problems addressed ...

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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 Sep 6, 2026, the average hourly pay for data science project manager in Phoenix, AZ is $57.10, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $66.83 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 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 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 popular job titles related to Data Science Project Manager jobs in Phoenix, AZ?

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What job categories do people searching Data Science Project Manager jobs in Phoenix, AZ look for?

The top searched job categories for Data Science Project Manager jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Science Project Manager jobs?

Cities near Phoenix, AZ with the most Data Science Project Manager job openings:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Phoenix, AZ as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $118,769 per year, or $57.1 per hour.

Senior Project Manager

LiveMindz

Phoenix, AZ • On-site

Other

Posted 16 days ago

Job description

Job Role: Senior Project Manager
Job Locations: Phoenix, AZ, USA
Required Experience: 8 - 10 Years
Skills: Project Management, Scrum, Agile, Data and Analytics, Tableau, Data
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Under minimal supervision,manage Data and Analytics projects including analytics services, data strategy, business intelligence and insights, machine learning/AI, data sciences, predictive modeling, forecasts, other statistical analyses, enterprise dashboards, and other strategic projects.
Responsibilities:
  • Responsible for the overall direction, coordination, execution, and implementation of Analytics projects to ensure that project goals are accomplished within the specified time frame and funding parameters.
  • Utilize a project management practice which supports frequent adaptation, inspection, self-organization, and a set of engineering practices that provide quick delivery of high-quality software needs.
  • Deliver within a framework that supports the key characteristics of an analytical project, such as the need to do exploratory analysis.
  • Have a deep understanding of Analytics to drive clarity from ambiguity and the capability to drive consensus across leaders and concerted progress across multiple teams.
  • Prepare and manage project related management plans in support of obtaining business benefits(includes program/project planning, schedule development, and scope management).
  • Ensures flexibility and adaptability with project management methodology based on the project requirements (CRISP- DM, Agile, hybrid: including the lifecycle of data science/artificial intelligence/machine learning: training, experimentation, deployment, inference) lifecycle of Data Engineering: consuming data, data transformations and analytics).
  • Serve as a scrum master to work across data science and data analytics to facilitate planning and retrospectives, update stories, and keep data science informed.
  • Have a conceptual knowledge of analytics tools, data science methodologies, and their application in solving complex business problems.
  • Ability and initiative to learn and research new concepts, ideas, and technologies quickly.
  • Employ strong problem-solving, and process development abilities.
  • Strong communication, interpersonal, emotional intelligence, and presentation skills.
  • Ability to quickly build collaborative relationships with project stakeholders and project team members.
  • Ensure project results are clearly articulated within scope and delivered business benefits are of the highest caliber.
  • Perform resource capacity analysis and resource plan management in partnership with department leadership.
  • Define and track project milestones while developing, maintaining and reporting on an overall integrated delivery plan.
  • Serve as subject matter expert in briefing stakeholders in aspects of project progress related to work completion, scope, cost and quality; Represents the project in various project governance and inter-department forums.
  • Facilitate the procurement and sourcing process by defining deliverables, managing procurement team tasks, and ensuring negotiation activities are tracked and documented.
  • Validate financial forecasts and provide on-going reconciliation of resources and other related project expenditures.
  • Publishes scheduled project status reports.
  • The position will report to the PMO but will take direction from Leadership within the Analytics and Strategic Business Services segment.
Qualifications:
  • This position requires at least 8 years of project management experience in managing and delivering analytics projects, with personal accountability for delivering to time and cost for complex projects
  • Within those eight years, preference to have a minimum of 5 years' experience managing projects that include the following specializations
  • Languages, including Python, R, SQL, and Tableau;
  • Data Analysis;
  • Data Mining;
  • Statistics;
  • Data Visualization;
  • Data Reports;
  • Data Modeling; and
  • Database Systems.
  • Have an understanding of and experience managing projects using cloud solutions (AWS)
  • Experience using CRISP-DM methodology, which supports Analytics best practices and supports project replication, Agile and hybrid project management methodologies.
  • Have sound business and technical acumen. Project Managers must understand the fundamental concepts of analytics technical environments
  • Preference to those with a retail background and a proven ability to inspire teamwork, earn trust, facilitate collaboration and remove barriers to ensure project delivery.
  • Proficient in MS Office suite: Excel, PowerPoint, Project, Visio; understanding of analytical tool stack, Jira, SharePoint, bitbucket, and Clarity is a plus
Educational Requirements:
  • This position requires a Bachelors Degree in Analytics, Computer Science, Information Systems or related, or equivalent experience (10+ years).
  • Master Level degree is highly preferred.
  • PMP Certification, Prince2, Scrum / Agile, SAFe project management certification or equivalent Project Management certification required.

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