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Data Project Manager Jobs in Virginia (NOW HIRING)

Impact Makers

Project Manager - Data Migration

Richmond, VA · On-site

$51.25 - $69.25/hr

The Project Manager will be responsible for overseeing the entire data migration process from The PM will ensure that all project objectives are met on time, within scope, and within budget The PM ...

NTI Connect LLC

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 ...

H5 Data Centers

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.

TheStaffed

Project Manager - Data & ETL Delivery

Mclean, VA · On-site

$52.25 - $70.75/hr

Our client is seeking a Project Manager - Data & ETL Delivery to lead end-to-end delivery of enterprise data engineering and ETL modernization programs, managing scope, schedules, risks, and ...

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All JobsData Project JobsData Project Manager JobsData Project Manager Jobs in Virginia

Data Project Manager information

See Virginia salary details

$16

$57

$79

How much do data project manager jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data project manager in Virginia is $57.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $66.73 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 Virginia? For Data Project Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Project Manager jobs in Virginia look for? The top searched job categories for Data Project Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Project Manager jobs? Cities in Virginia with the most Data Project Manager job openings:
Data Project Manager jobs near you
Infographic showing various Data Project Manager job openings in Virginia 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 $118,591 per year, or $57 per hour.
Data Engineer / Data Project Lead, Head Start - Remote

Data Engineer / Data Project Lead, Head Start - Remote

ICF International, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Head Start National Customer Service Improvement Project (CSIP). This role is responsible for leading the design, development, integration, maintenance, and continuous improvement of data pipelines, workflow and task management solutions, and analytical tools that support the Office of Head Start's (OHS) grants management, oversight, and decision-making needs.
The Data Engineer / Data Project Lead oversees data-focused staff assigned to the contract, ensures high-quality, secure, and sustainable data solutions, and applies user-centered, iterative approaches to data project delivery in alignment with federal policies and system requirements.
Primary Responsibilities:
  • Lead planning, execution, and delivery of data management and data engineering projects supporting OHS program oversight and operations.
  • Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort.
  • Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics.
  • Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists.
  • Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms.
  • Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
  • Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow).
  • Support the use of the OHS Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis.
  • Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth.
  • Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments.
  • Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity.
  • Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making.
  • Support generation of standardized documents and correspondence through automated data integration where appropriate.
  • Enable data-informed decision-making through improved access to timely, relevant, and well-structured data.
  • Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement.
  • Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials.
  • Support the development of training materials and guidance to promote consistent use of data tools and solutions.
  • Respond to data-related inquiries and support ad hoc and recurring data requests from OHS staff and leadership.
  • Participate in briefings, meetings, and planning sessions related to data management initiatives.
  • Support coordination across technical and programmatic teams to ensure solutions align with operational needs.

Required Qualifications:
  • Bachelor's degree in computer science, information systems, data science, or a related field from an accredited institution.
  • 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles.
  • 3+ years of supervisory or technical team leadership experience.
  • 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects.
  • 3+ years of experience with data integration, ETL processes, database design, and data pipelines.
  • 1+ years of experience in early childhood education and/or Head Start programs.
  • 1+ years of experience with federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
  • US government issued security clearance required (will be initiated upon hire)
  • Valid driver's license and ability to pass an MVR check.

Preferred Qualifications:
  • Experience supporting federal information systems or federal grant programs.
  • Experience in applying AI or advanced analytics in data pipelines.
  • Demonstrated ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Proven ability to address team and stakeholder issues and support problem resolution.
  • Proficiency in SQL and at least one programming language (e.g., Python).
  • Experience with APIs, data integration, and automation tools.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data governance, security, and federal information system requirements.
  • Familiarity with project management methodologies; Agile/Scrum experience preferred.

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Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,499.00 - $138,549.00
Nationwide Remote Office (US99)

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