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Data Management Jobs in Reston, VA (NOW HIRING)

MCRA

Associate Data Manager

Washington, DC · On-site

Position Overview MCRA is seeking a Clinical Data Specialist/Associate CDM to join its Data Management team. This position will be responsible for assisting Clinical Data Managers in all aspects of ...

Deloitte

Data Management Engineer III

Rosslyn, VA

$130K - $156K/yr

Work You'll Do As a Data Management Engineer III on the project, you will: * Participate in and contribute to the development and maintenance of Data Engineering Pipelines * Utilize Databricks ...

Deloitte

Data Management Engineer III

Arlington, VA · On-site

$131K - $158K/yr

Work You'll Do As a Data Management Engineer III on the project, you will: * Participate in and contribute to the development and maintenance of Data Engineering Pipelines * Utilize Databricks ...

Emmes

Data Manager

Rockville, MD · On-site +1

Data Management Handbook, Data Management Plan, Data Validation Plan, EDC System User's Guide, EDC Training and Certification Documents) Prepares data reports and assists with data presentations as ...

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All JobsData Management JobsData Management Jobs in Reston, VA

Data Management information

See Reston, VA salary details

$32.3K

$101.1K

$178.9K

How much do data management jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data management in Reston, VA is $101,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $130,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

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

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs
What are the most commonly searched types of Data Management jobs in Reston, VA? The most popular types of Data Management jobs in Reston, VA are:
What are popular job titles related to Data Management jobs in Reston, VA? For Data Management jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Reston, VA look for? The top searched job categories for Data Management jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Management jobs? Cities near Reston, VA with the most Data Management job openings:
Data Management jobs near you
Infographic showing various Data Management job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,065 per year, or $48.6 per hour.
Senior Consultant, Data Management

Senior Consultant, Data Management

FI Consulting

Arlington, VA • On-site

Full-time

Posted 22 days ago

Job description

FI Consulting is seeking a full-time Senior Data Management Consultant with 5+ years of professional experience, to help lead and advise our client on an ERP implementation.
For more than 23 years, financial institutions in the Federal, private, and public sectors have called on FI Consulting to address complex and high-stakes analytical challenges closely scrutinized by executives, auditors, regulators, and stakeholders.
We help clients succeed by applying our core strengths in business applications of Data Engineering, Analytics, Modeling, and Business Architecture to gain insight into finances, loans, and performance; manage risk; and improve operations.
Position Overview:
  • Update and/or maintain the Data Management Strategy that considers all necessary activities to migrate data from current financial, procurement, and asset management systems to target systems.
  • Participate in and/or facilitate Data Conversion/Data Clean-up working groups with stakeholders.
  • Provide recommendations on data cleansing approaches and business rules across multiple lines of business.
  • Track stakeholder validation of data clean-up and data cleansing.
  • Develop and/or maintain data clean-up/data cleansing dashboards.
  • Assist in the execution of all data conversion and data clean-up activities (e.g., data cleansing, mock conversion, data research, etc.) this may include:
    • Analyzing all source system data for anomalies that affect data integrity.
    • Executing cleansing of data as determined by results of analysis. This may include the development and execution of database scripts.
    • Integrating this progress with the Integrated Master Schedule.
    • Identifying and implementing interim solutions to assist OCFO in improving and streamlining business processes to improve the quality of financial data before migration.
    • Leveraging data warehouses and repositories to analyze CISA data and identify anomalies to be corrected.

Required Skills:
  • 3-10 years of experience in Data Analysis, preferably within an Accounting or Finance team.
  • Strong understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance
  • Proven analytics skills, including mining, evaluation, and visualization
  • Technical writing experience in relevant areas including reports and presentations
  • Aptitude and interest in learning other analytics tools and programming languages
  • Experience developing and maintaining dashboards and visualizations
  • Experience with migrating data to an integrated system which includes data cross-walking and data reconciliation
  • Ability to handle large datasets, ensure data accuracy, and implement data governance practices
  • Deep understanding of table relationships, and ability to compile, manipulate, and aggregate data
  • Strong ability to identify trends and identify actionable insight and make informed decisions from data

We need client facing talent who currently demonstrate a strong blend of technical skills, and essential soft skills with a commitment to continuous learning in the rapidly evolving field of AI.
  • Previous and current use of productivity tools is required
    • Purpose: answering questions, generating text, help with creating documents, emails, etc.
    • Examples: ChatGPT, MS Copilot, Gemini, etc.
  • Previous and current use of creative tools is desired
    • Purpose: software code, video, graphics generation, etc.
    • Examples: Amazon Q, GitHub Copilot, ect.
  • Incorporating AI into solutions is nice to have
    • Purpose: making AI algorithms part of technology solutions
    • Examples: neural networks, predictive algorithms, large language models, etc.

These individuals should be able to clearly discuss how and when they have used the tools. They understand AI by actively applying it to solve real-world problems and drive business success. Their personality traits:
  • Intellectual Curiosity: A strong desire to learn and explore new AI concepts.
  • Problem-solving & Critical Thinking: Ability to apply AI knowledge to new challenges.
  • Learning Agility: Ability to quickly adapt and learn new AI tools and techniques.

Preferred Technologies:
  • SQL, Python, Excel VBA or other data query languages
  • Python, R, JavaScript, or other automation programming languages
  • Excel, Power BI, Tableau, or other data analysis and Visualization Tools
  • Azure, AWS, GCP, or other cloud providers

Keys to Success in this Role:
  • Proficiency with federal financial management and accounting concepts
  • Self-starter who can work with minimal supervision and oversee the data team activities and strategy
  • Detail-oriented to ensure accuracy in data mapping, reconciliation, and reporting
  • Experience working with cross-functional teams to ensure quality throughout the software development lifecycle
  • Hardworking individual with excellent communication skills, attention to detail, analytical mind, problem-solving aptitude, and strong organization skills who inspires teammates to reach their maximum potential

Who We Are: FI Consulting is a 80+ person professional services firm that helps government and commercial financial institutions solve hard problems in data, analytics, modeling, and technology. Our professionals are specialists with expertise across a range of fields, for example:
  • Financial and economic modeling
  • Data analytics & visualization
  • Financial products and markets
  • Economics and statistics
  • Business process management and re-engineering

Our Company Values & Operates on:
  • A Commitment to Creating Value for our Clients and our Employees
  • A Flat Management Structure that is Still Led by one of the Original Founders
  • An Emphasis on Teamwork and Cooperation
  • Employee Development and Career Growth
  • Continuous Improvement
  • An Entrepreneurial Culture that Rewards Finding, Developing, and Owning Business

What it's really like to work for us:
You will work with a team of smart, talented people in a culture that is simultaneously driven, collegial, and supportive. We set high expectations for employees in the areas of project delivery excellence, building trusted client relationships, ownership of work and continuous improvement. Our culture is built on teamwork and collaboration.
As part of our meritocratic culture, we strongly encourage each of our employees to remain committed to "stretching" the levels of their most current professional strengths to continuously adapt, grow and expand their subject matter expertise for the benefit of adding value to our clients. The emphasis on stretch starts at the very top of our organization and is promoted throughout to all members of our team. The desire of our employees to stretch is critical to effectively, and with greater flexibility, plan project assignments and subsequently position our people and the company for future success.
Additional requirements:
  • Authorized to work in the United States as a US Citizen. We are not able to accept permanent resident or sponsor or accept any VISA Holders at this time including OPT, H1B, EAD.
  • Successfully pass a background investigation and drug screening.
  • Reside in the DC Metro area within 30 days of hire.

FLSA Designation
  • This is an exempt position.
  • FI Consulting participates in E-Verify.
  • Equal Employment Opportunity/disability/protected veteran status.
  • FI Consulting is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email recruiting@ficonsulting.com or call: 571-255-6772. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

AI plays only a supporting role in our recruitment process. All decisions are made by human members of our talent acquisition team.

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