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Data Project Manager Jobs in Reston, VA (NOW HIRING)

Project Manager, Data Centers

Manassas, VA · On-site

$48.50 - $65.50/hr

We provide value across the entire project lifecycle through our core construction management ... By integrating data, artificial intelligence, and advanced technology through our Seamless Platform ...

Project Manager, Data Centers

Manassas, VA · On-site

$48.50 - $65.50/hr

We provide value across the entire project lifecycle through our core construction management ... By integrating data, artificial intelligence, and advanced technology through our Seamless Platform ...

Project Manager - Data Centers

Manassas, VA · On-site

$48.50 - $65.50/hr

Experience in managing and leading large-scale structured cabling installations in complex project environments such as hyperscale data centers, advanced manufacturing, or other critical ...

Data Center Project Manager

Ashburn, VA · On-site

$125K - $130K/yr

Provide Management status of all active Data Center projects and Key Performance indicators. * Lead internal resources and vendors in the execution of Data Center deployments and builds.

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Data Project Manager information

See Reston, VA salary details

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How much do data project manager jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data project manager in Reston, VA is $59.83, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $70.00 per hour, depending on experience, location, and employer.

Can I make 100k as a project manager?

Data Project Managers can earn $100,000 or more annually, especially with experience, certifications like PMP, and in high-demand industries or regions. Salary varies based on location, company size, and project complexity, with senior roles and specialized skills increasing earning potential.

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 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 4 types of project managers?

In project management, four common types of project managers are functional, projectized, matrix, and hybrid. Functional managers work within specific departments, while projectized managers lead projects independently. Matrix managers balance both functional and project responsibilities, and hybrid combines elements of these approaches to suit organizational needs.

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.

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's the highest paid project manager?

The highest paid project managers are often in industries like IT, finance, and engineering, with salaries exceeding $150,000 annually in some regions. Senior project managers with extensive experience, certifications such as PMP, and expertise in complex projects tend to earn the highest compensation.

What do data project managers do?

Data project managers oversee data-related projects by coordinating teams, defining project scope, setting timelines, and ensuring deliverables meet business objectives. They often use project management tools and require knowledge of data analysis and databases to facilitate effective communication between technical and non-technical stakeholders.
What are popular job titles related to Data Project Manager jobs in Reston, VA? For Data Project Manager jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Project Manager jobs? Cities near Reston, VA with the most Data Project Manager job openings:
Infographic showing various Data Project Manager job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,444 per year, or $59.8 per hour.
Data Project Manager (TS Cleared)

Data Project Manager (TS Cleared)

The Building People

Washington, DC

$58.50 - $79.25/hr

Other

Re-posted 19 days ago


Job description

Please note that this position is for an upcoming position. We are, however, accepting applications for this anticipated need. If you are interested in joining The Building People, we encourage you to APPLY TODAY! 

The Building People, LLC, has a position for a Data Project Manager to support a federal client. The Data Project Manager uses PowerPlatform, CAD, and other design/space technology software to provide support to Project Management, Occupancy Planning, and Move Managers. 
Key Responsibilities
• Provides expertise in build-out, management, and refinement of PowerPlatform-based tools used to collect, process and measure data from multiple sources to produce valuable metrics on space utilization
• Collect and analyze data from multiple sources 
• Collect, maintain, analyze, and report space, occupancy, workforce, and facilities-related data to support decision-making
• Develop and maintain dashboards, trackers, reports, charts, and other visuals to support space utilization, move planning, and resource requirements 
• Analyze space utilization trends, identify gaps, conflicts, inefficiencies, and risks, and recommend practical improvements to support operations 
• Support physical space planning, seating optimization, office move coordination, and implementation planning.
• Manage and report space allocation data
• Proactively monitor space allocation data and changes and generate needed reports and analysis on space allocation and utilization
• Maintain data integrity by validating source information, resolving discrepancies, documenting assumptions, and ensuring reports and dashboards reflect current conditions

 
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