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Data Management Lead Jobs in Virginia (NOW HIRING)

Akima, LLC

Data Integration Team Lead

Fort Belvoir, VA · On-site

$130K - $185K/yr

Provides data management services and software, makes data-science-informed recommendations, and ... This position acts in partnership with the Intelligence Solutions Integrator Team Lead.

Booz Allen Hamilton

Data Quality Engineer

Arlington, VA · On-site

$77K - $176K/yr

Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data management. Lead exercises to create a complete inventory of the ...

Electrosoft

Data Architect

Arlington, VA · On-site +1

$73.25 - $94.25/hr

Lead data modernization initiatives, including migration of legacy data environments to cloud-based and hybrid architectures. * Establish data management standards, metadata requirements, and data ...

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All JobsData Management Lead JobsData Management Lead Jobs in Virginia

Data Management Lead information

See Virginia salary details

$30

$69

$95

How much do data management lead jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data management lead in Virginia is $69.48, according to ZipRecruiter salary data. Most workers in this role earn between $60.05 and $77.93 per hour, depending on experience, location, and employer.

What is the difference between Data Management Lead vs Data Analyst?

AspectData Management LeadData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related fields; certifications like CDMP or DAMABachelor's in Statistics, Mathematics, or related fields; often no specific certifications required
Work EnvironmentLeads data governance, quality, and strategy teams; focuses on data infrastructureAnalyzes data sets to generate reports and insights; works with business units
Employer & Industry UsageUsed in organizations with large data infrastructure, finance, healthcare, techCommon across industries for data-driven decision making

The Data Management Lead focuses on overseeing data governance, quality, and infrastructure, ensuring data integrity across the organization. In contrast, the Data Analyst primarily interprets data to provide actionable insights. While both roles require strong analytical skills, the Lead emphasizes data strategy and management, whereas the Analyst emphasizes data analysis and reporting.

What does a data management lead do?

A data management lead oversees the organization, quality, and security of an organization's data assets. They develop data strategies, implement data governance policies, and collaborate with teams to ensure data accuracy and compliance, often using tools like data management software and databases. Strong analytical skills and knowledge of data privacy regulations are essential for this role.

What are the key skills and qualifications needed to thrive as a Data Management Lead, and why are they important?

To thrive as a Data Management Lead, you need expertise in data governance, data quality management, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data management tools such as SQL, data warehousing platforms, and certifications like CDMP (Certified Data Management Professional) are commonly required. Excellent leadership, communication, and problem-solving skills help you coordinate cross-functional teams and drive data initiatives. These skills ensure data integrity, regulatory compliance, and the effective use of data assets within an organization.

How does a Data Management Lead typically collaborate with cross-functional teams to ensure data quality and consistency?

As a Data Management Lead, you'll frequently work alongside IT, business analysts, data scientists, and compliance teams to establish, maintain, and enforce data governance standards. This collaboration often involves hosting regular meetings to align on data definitions, sharing best practices for data stewardship, and addressing any data quality issues that arise. You'll play a central role in fostering communication between technical and non-technical stakeholders to ensure that data remains accurate, accessible, and secure across the organization. Building strong relationships and understanding the unique data needs of each department is key to success in this role.
What are the most commonly searched types of Data Management Lead jobs in Virginia? The most popular types of Data Management Lead jobs in Virginia are:
What are popular job titles related to Data Management Lead jobs in Virginia? For Data Management Lead jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Management Lead jobs in Virginia look for? The top searched job categories for Data Management Lead jobs in Virginia are:
Data Management Lead jobs near you
Infographic showing various Data Management Lead job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $144,522 per year, or $69.5 per hour.

Data Engineer / Data Project Lead, Head Start - Remote

ICF International, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 28 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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