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Data Project Manager Jobs in Ohio (NOW HIRING)

$80.58 - $103.60/hr

Herausforderungen haben wir genug - und jetzt brauchen wir dich, um sie anzugehen! Deine Aufgaben * Als Data & AI Project Manager übernimmst du eine Schlüsselrolle beim Aufbau unserer Daten- und KI ...

Data Center Project Manager

Columbus, OH · On-site

$116K/yr

HDR is looking for a Data Center Project Manager to join our Building Engineering Services team in Ohio/Pennsylvania. Our team is looking for a candidate to meet the demands of our client base ...

HDR is looking for a Data Center Project Manager to join our Building Engineering Services team in Ohio/Pennsylvania. Our team is looking for a candidate to meet the demands of our client base ...

Data Center Project Manager This person will work fully onsite in Sidney, OH. Per diem provided for travelers. This role leads large-scale data center construction projects from inception through ...

The Data Center Project Manager develops and implements project controls and procedures, oversees financial performance, and ensures that all project activities align with contract requirements. This ...

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Data Project Manager information

See Ohio salary details

$15

$54

$76

How much do data project manager jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data project manager in Ohio is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $63.99 per hour, depending on experience, location, and employer.

What does a data project manager do?

A Data Project Manager oversees data-related projects, ensuring they are completed on time, within budget, and according to specified requirements. They coordinate teams of data analysts, engineers, and other stakeholders to collect, manage, and analyze data. Their responsibilities include project planning, risk management, resource allocation, and communication with clients or leadership. Data Project Managers play a crucial role in transforming raw data into actionable insights for organizations.

How does a data project manager typically collaborate with data analysts, engineers, and stakeholders during a project lifecycle?

A Data Project Manager acts as the central point of coordination between technical teams—like data analysts and engineers—and business stakeholders. They facilitate regular meetings to clarify project goals, align on deliverables, and resolve blockers swiftly. The role often involves translating business requirements into actionable tasks for the technical team, monitoring progress, and ensuring that communication flows smoothly among all parties. This collaborative approach helps ensure data projects are delivered on time and meet organizational objectives.

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

To thrive as a Data Project Manager, you need strong project management abilities, data analysis skills, and a relevant degree in business, information technology, or a related field. Familiarity with project management tools (like Jira or Asana), data visualization platforms (such as Tableau or Power BI), and certifications like PMP or Agile/Scrum are commonly required. Exceptional communication, leadership, and problem-solving skills help drive cross-functional collaboration and resolve complex project challenges. These skills are crucial for ensuring projects are delivered on time, data is leveraged effectively, and stakeholder expectations are met.

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

AspectData Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentOversees projects, manages teams, coordinates between stakeholdersAnalyzes data sets, creates reports, visualizations, and insights
Employer & Industry UsageUsed across industries for managing data projects in tech, finance, healthcareCommonly employed for data interpretation and reporting roles in similar industries

The Data Project Manager focuses on planning, executing, and closing data-related projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Data Project jobs in Ohio?

The most popular types of Data Project jobs in Ohio are:

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

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

What cities in Ohio are hiring for Data Project Manager jobs?

Cities in Ohio with the most Data Project Manager job openings:

Infographic showing various Data Project Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $113,719 per year, or $54.7 per hour.

Data Management and Artificial Intelligence Project Manager

Banner Quality Management Inc

Cleveland, OH • On-site

$48.75 - $65.75/hr

Full-time

Posted 2 days ago

New


Job description

Banner Quality Management Inc. (BQMI) is seeking a Project Manager specializing in Data Management and Artificial Intelligence (AI) to provide remote project management support for the NASA Safety Center in support of the NASA Safety and Mission Assurance (SMA) Engineering and Technical Services (SETS) contract.  The right candidate will join the SETS team to provide comprehensive programmatic, strategic, and technical support to the NASA Safety Center (NSC) and SMA teams. The role spans policy development, governance, data/AI strategy execution, workforce training, and multi-center coordination to advance NASA's Data Strategy and AI maturity within the NSC and SMA.

BQMI is a small woman owned business with headquarters in Friendswood, Texas. Our core values of Inspiration, Innovation, Excellence, Integrity, and Trust assist us in aligning our tactical goals and objectives with our corporate strategy. We continue to surround ourselves with a network of people that also believe in these values and have the knowledge, experience, and ethics to push us to be the best possible team for our customers. Join our team of employees that are located all over the United States working on NASA and Department of Defense contracts.

Essential Duties & Responsibilities:

  • Policy, Governance, and Compliance - Lead development, coordination, and implementation of data and AI policies, including governance standards, metadata and classification frameworks, interoperability models, and compliance enforcement mechanisms. Conduct policy gap assessments, manage exception processes, monitor compliance, and support consensus-building among NSC and SMA teams across NASA centers and external partners.
  • AI and Data Risk Management - Develop and maintain AI risk assessment methodologies aligned with NIST AI RMF, including bias testing, safety validation, and ongoing performance monitoring for deployed models. Identify risks, create risk statements, mitigation plans, and impact analyses.
  • Strategic Planning and Inter-Organizational Coordination - Facilitate inter-organizational planning and coordination to meet federal requirements and support NASA's Data Strategy, Data Action Plan goals, and enterprise milestones. Provide project and program management support aligned with IT, data, and AI domain knowledge, applying cost/schedule/performance metrics.
  • Training and Workforce Development - Develop and coordinate training materials, briefings, and workforce development strategies to improve NSC and SMA proficiency in AI and data competencies. Assess workforce skill gaps and produce tailored curricula and career progression maps for data/AI roles.
  • Data Management and Technical Architecture - Implement enterprise-level data management practices such as ontologies, taxonomies, knowledge graphs, metadata standards, and interoperability frameworks. Promote responsible, ethical, secure, and transparent adoption of AI capabilities.
  • Stakeholder Engagement and Working Groups - Support NASA-wide boards, working groups, and governance bodies working on Agency-wide AI implementation.
  • General Support Services - Provide strategic advisory, content development, governance support, communications coordination, and continuous service improvement across NSC and SMA initiatives.
  • Infrequent travel may be required.

 
Essential Skills:

  • Able to provide expert strategic vision and management services informed by industry best practices to guide efficient and effective data management and AI adoption.
  • Knowledge of AI and data governance and risk frameworks.
  • Ability to provide IT clarification as it relates to AI.

Experience/Education:

  • Bachelor's or Master's degree in Data Science, Information Management, Business Administration, or a related field (PhD preferred for senior levels)
  • Minimum of eight (8) years of project management experience.
  • Minimum of six (6) years of experience in data governance, data management, or a related field, preferably within a federal or large organizational setting.
  • Proficient in Microsoft Office 365 (Word, Excel, PowerPoint, Outlook, Teams, OneNote, OneDrive), SharePoint, and Box. 
  • Jira (preferred)
  • Microsoft Purview (preferred)
  • Collibra, Informatica, etc. (preferred)
  • Microsoft Project (preferred)
  • Certified Data Management Professional (CDMP) Certification (preferred)
  • ITIL Certification (preferred)
  • PMI Project Management Professional (PMP) (preferred)

Personality or self-management skills:

  • Excellent problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple projects simultaneously.

 
Remote, hybrid, and onsite positions, the employee bears travel costs to the nearest NASA Center for badging and the issuance of NASA IT equipment.

For a Remote or Hybrid position, the employee must have a reliable internet connection and be able to VPN into the NASA network to conduct work.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.