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Data Science Project Manager Jobs in Oklahoma (NOW HIRING)

Project Manager

Catoosa, OK · On-site

$115K - $155K/yr

Problem-solving mindset, with the ability to identify issues, analyze data, and implement effective solutions. * Proven negotiation and contract management skills. * PMP or other relevant project ...

New

Our client is seeking an experienced Senior Project Manager to support a strategic enterprise data initiative on a part-time basis. This opportunity is ideal for an experienced consultant, semi ...

Our client is seeking an experienced Senior Project Manager to support a strategic enterprise data initiative on a part-time basis. This opportunity is ideal for an experienced consultant, semi ...

New

The Project Manager will be interacting and directing resources on projects involving the ... Solid understanding of complicated data analysis theory, project cost estimation, and profitability ...

New

Project Manager Location: This position is remote. Shape the Future of Online Learning with OU ... Oversee data and analytics initiatives - data governance, pipeline integrity, dashboard development ...

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

Showing results 41-60

Data Science Project Manager information

See Oklahoma salary details

$15

$53

$74

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

As of Aug 7, 2026, the average hourly pay for data science project manager in Oklahoma is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $62.16 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 Oklahoma? For Data Science Project Manager jobs in Oklahoma, the most frequently searched job titles are:
Infographic showing various Data Science Project Manager job openings in Oklahoma as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $110,446 per year, or $53.1 per hour.

Data Governance Architect with Security Clearance

Illumination Works llc.

Oklahoma City, OK • On-site

$62 - $79.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Location and Travel Details: Hybrid Onsite Tinker Air Force Base (Oklahoma City, OK) Join our Data Science Team! Our collaborative and diverse data science and data management teams help organizations establish trusted, governed, and actionable data ecosystems that enable informed decision-making across the enterprise. Our projects range from enterprise data strategy and stewardship initiatives to data architecture modernization, and enterprise data analytics/data science. We are seeking an experienced Data Governance and Architecture Lead who is passionate about helping organizations understand and manage complex data environments while driving enterprise-wide adoption of data management best practices. The ideal candidate will possess strong technical and organizational leadership skills and be capable of guiding cross-functional working groups, educating stakeholders, and aligning local data initiatives with enterprise governance frameworks. This individual will serve as a trusted advisor, helping organizations prevent fragmented data efforts and establish coordinated approaches to data management and analytics Key activities include: * Lead and facilitate the Air Force Sustainment Center's data needs supporting AFSC logistics and sustainment operations and work in conjunction with Higher Headquarters data efforts
* Consolidate and maintain information on all data systems and data attributes supporting the logistics mission
* Identify and document data sources, system relationships, and business processes across the enterprise, especially the AFSC Digital Depot efforts
* Help government stakeholders understand how data flows across logistics, maintenance, supply chain, and sustainment systems
* Educate and train government personnel on data management best practices and enterprise data resources
* Promote consistent use of DoW, AF, and AFSC enterprise tools, standards, and processes
* Coordinate across organizations to reduce duplicate data efforts and conflicting reporting or analytics driving to Enterprise Applications as possible. * Review proposed data initiatives and ensure alignment with enterprise priorities and existing capabilities
* Ensure data is trustworthy by cultivating medallion best practices for bronze, silver, and gold standards
* Support the development of data management plans and stewardship/governance documentation
* Facilitate discussions between functional experts, system owners, analysts, and leadership to resolve data challenges
* Lead Data Working Groups as required
* Present findings, recommendations, and action plans to government leadership Do you have what it takes? Are you driven to bring order to complex data environments? Do you enjoy helping organizations understand their data assets, processes, and dependencies while building consensus across diverse stakeholder groups? We value curiosity, collaboration, strategic thinking, and the ability to translate complex technical concepts into actionable guidance for both technical and non-technical audiences. Required skills for this job include: * Must have existing Secret Clearance
* Acceptable candidates must successfully pass a drug test and background screen
* Strong understanding of Department of War logistics, maintenance, supply chain, or sustainment operations
* Experience working directly with Air Force organizations, preferably AFSC stakeholders
* Ability to understand and communicate complex business processes and data relationships
* Experience facilitating working groups, meetings, and stakeholder engagements to include preparing presentations, tracking action items and preparing meeting minutes
* Strong organizational, communication, and relationship-building skills
* Experience documenting business processes, data sources, and operational workflows
* Ability to translate technical concepts into language appropriate for non-technical audiences
* Ability to manage data as an asset and maintain data configuration baselines using tools such as ServiceNow or other software.
* Experience developing and delivering training materials and workshops
* Self-starter capable of working independently while coordinating across multiple organizations
* Proficiency with Microsoft Office products, including PowerPoint, Excel, Teams, and SharePoint
* Bachelor's degree in Business, Information Systems, Logistics, Supply Chain Management, Engineering, or related field
* Minimum of seven (7) years of experience in data stewardship/governance and data architecture
* Experience supporting Air Force programs or organizations strongly preferred About ILW At Illumination Works, we know data, and we should, we've been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation-delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com . Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market-competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. Know Your Rights Poster E-Verify Participation Poster (uscis.gov) Accommodations
If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Human Resources Staff by sending an email to . This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. Notification for current or previously cleared professionals: Official U.S. Government information appearing in the public domain shall not automatically be considered UNCLASSIFIED or approved for public release. ILW recognizes that information contained in resumes of current or previously cleared professionals may be sensitive, containing potentially proprietary and/or protected information. Protected Information is considered classified, in the process of a classification determination, or unclassified, but protected by statute. Therefore, all resumes should be approved for public release by a U.S. Government Official with Original Classification Authority, prior to posting the resume to ILW's applicant tracking system. By submitting my resume, I understand that I am NOT authorized to upload content with Official U.S. Government information that is considered, sensitive, proprietary, or protected.