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Director Data Jobs in Springfield, VA (NOW HIRING)

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts ...

Senior Director - AI & Data (1285)

MD · On-site

$180K - $231K/yr

These platforms enable efficient data management, deep data-driven insights, and seamless management of end-to-end commercial operations. With a global footprint spanning over 30 countries, Axtria is ...

About Data Society Group At Data Society Group, we empower workforces to achieve breakthrough ... Direct, mentor, and align the Sales and Marketing teams to create a unified, high-performing ...

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Director Data information

See Springfield, VA salary details

$54.3K

$134.2K

$208.9K

How much do director data jobs pay per year?

As of Aug 8, 2026, the average yearly pay for director data in Springfield, VA is $134,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $170,800.00 per year, depending on experience, location, and employer.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

What are the most commonly searched types of Data jobs in Springfield, VA? The most popular types of Data jobs in Springfield, VA are:
What job categories do people searching Director Data jobs in Springfield, VA look for? The top searched job categories for Director Data jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Director Data jobs? Cities near Springfield, VA with the most Director Data job openings:

Director of Data Science

Redhorse Corporation

Arlington, VA • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Redhorse Corporation is a company that specializes in developing and implementing creative strategies and solutions for various customers. They are seeking a Director for their Data Science team to lead and manage a multi-disciplinary team, collaborate with stakeholders, and develop AI-driven solutions for data-driven decision-making.
Responsibilities:
• Provide Data Science as a service to internal (corporate) and external customers.
• Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
• Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
• Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
• Perform or assist in various project management tasks relating to the Data Science portfolio.
Qualifications:
Required:
• Master’s Degree in Data Science or related field
• 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
• 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
• 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
• 2 years of experience leading complex data science projects from conception to execution
• 2 years of experience building, mentoring and managing teams of data scientists
• Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
• Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
• Experience with software configuration management, methods, and tools including GitHub or Jira
• Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred:
• Ability to lead development efforts utilizing DevOps and Agile Methodologies
• Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
• Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
• Familiarity with metadata extraction technologies such as GROBID and Apache Tika
• Familiarity with data structures, algorithms, and modular application design
• Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
• Ability to learn technical concepts quickly and communicate with multiple functional groups
Company:
We want to improve the way government interacts with and uses data and technology. Founded in 2007, the company is headquartered in San Diego, USA, with a team of 201-500 employees. The company is currently Growth Stage.