1

Assistant Data Strategy Jobs in Washington (NOW HIRING)

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Support repository management and enterprise information architecture documentation. * Assist with ... Knowledge of the Federal Data Strategy and enterprise data governance principles. * Experience with ...

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Support repository management and enterprise information architecture documentation. * Assist with ... Knowledge of the Federal Data Strategy and enterprise data governance principles. * Experience with ...

Manager, Ontology & Data Modeling

Mclean, VA · On-site

$55.25 - $71.75/hr

Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. * Able to develop a strong understanding of the Capital One business ...

Manager, Ontology & Data Modeling

Mclean, VA

$55.25 - $71.75/hr

Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. * Able to develop a strong understanding of the Capital One business ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance ... Experience working cross-functionally to define data strategy and architecture * Strong ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance ... Experience working cross-functionally to define data strategy and architecture * Strong ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

Knowledge of data strategy and data governance * Ability to advise clients on the acquisition of ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Knowledge of data strategy and data governance * Ability to advise clients on the acquisition of ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

next page

Showing results 1-20

Assistant Data Strategy information

What does an Assistant Data Strategy do?

An Assistant Data Strategy professional supports the development and execution of data-driven strategies within an organization. Their responsibilities often include gathering and analyzing data, assisting with data management processes, and providing insights to inform business decisions. They work closely with data analysts, strategists, and other stakeholders to ensure effective use of data assets. This role typically involves using analytical tools, preparing reports, and helping to implement data governance policies.

What are the key skills and qualifications needed to thrive as an Assistant Data Strategy professional, and why are they important?

To thrive as an Assistant Data Strategy professional, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming languages such as SQL or Python is often required. Excellent communication, attention to detail, and problem-solving skills help you collaborate with cross-functional teams and translate data insights into actionable strategies. These skills are crucial for delivering accurate, data-driven recommendations that support organizational goals and decision-making.

What are the typical responsibilities of an Assistant Data Strategy professional during a project lifecycle?

As an Assistant Data Strategy professional, you will typically be involved in gathering and organizing data requirements, supporting data analysis, and helping to develop actionable insights for business stakeholders. You may assist in documenting data processes, preparing reports, and collaborating closely with data analysts, engineers, and business units to ensure alignment with the overall data strategy. This role often requires strong communication skills, attention to detail, and the ability to adapt to shifting project priorities. You will gain valuable exposure to cross-functional teamwork and have opportunities to learn from senior data strategists, which can support career growth.

What is the difference between Assistant Data Strategy vs Data Analyst?

AspectAssistant Data StrategyData Analyst
Primary FocusSupporting data strategy development and implementationAnalyzing data to generate reports and insights
Skills & CertificationsKnowledge of data management, business strategy, and basic analytics toolsProficiency in data analysis, SQL, Excel, and visualization tools
Work EnvironmentCollaborates with data strategists, business teams, and ITWorks mainly with data sets, reporting tools, and stakeholders needing insights
Industry UsageCommon in organizations focusing on data-driven decision makingWidely used across industries for data reporting and analysis

The main difference is that an Assistant Data Strategy supports the development and execution of data strategies, focusing on planning and coordination. In contrast, a Data Analyst primarily analyzes data to produce reports and insights. Both roles require analytical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Data Strategy jobs in Washington? The most popular types of Data Strategy jobs in Washington are:
What are popular job titles related to Assistant Data Strategy jobs in Washington? For Assistant Data Strategy jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Assistant Data Strategy jobs in Washington look for? The top searched job categories for Assistant Data Strategy jobs in Washington are:
What cities in Washington are hiring for Assistant Data Strategy jobs? Cities in Washington with the most Assistant Data Strategy job openings:
Data Architect

Data Architect

Diaconia LLC

Springfield, VA • On-site

$125K - $145K/yr

Other

Posted 14 days ago


Job description

Description

Diaconia is seeking an Information/Data Architect to support a client modernization program. This position supports enterprise information and data architecture initiatives by developing and maintaining data models, metadata, taxonomies, data standards, and data exchange documentation that improve data quality, interoperability, and governance across mission systems.

The ideal candidate has experience with data architecture, data management, and integration activities and enjoys collaborating with both technical and business stakeholders to support enterprise modernization efforts.


Key Responsibilities
  • Develop and maintain conceptual and logical data models supporting enterprise information architecture. 
  • Create and maintain data dictionaries, metadata schemas, taxonomies, data asset catalogs, and data mappings. 
  • Develop and maintain Interface Exchange Package Documentation (IEPDs) and other data exchange artifacts. 
  • Document ETL processes, data feeds, API interfaces, XML-based exchanges, and integration requirements. 
  • Analyze data quality issues and recommend improvements to data consistency, accuracy, and usability. 
  • Support enterprise data governance initiatives by maintaining metadata, business definitions, and data standards. 
  • Collaborate with architects, engineers, developers, analysts, and business stakeholders to gather, validate, and document data requirements. 
  • Support repository management and enterprise information architecture documentation. 
  • Assist with data integration, analytics enablement, and enterprise reporting initiatives. 
  • Prepare data management recommendations and support architecture modernization activities. 
  • Ensure all information architecture products align with TSA standards, enterprise architecture guidance, and data governance policies.


 Disclaimer "The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization.  

Requirements

Minimum Qualifications
  • Bachelor's degree in Data Management, Computer Science, Information Systems, Analytics, Engineering, or a related field. 
  • Minimum three (3) years of professional experience in data architecture, data modeling, database administration, data management, data governance, ETL, metadata management, or related data management disciplines. 
  • Experience developing or supporting conceptual and logical data models. 
  • Experience creating or maintaining data dictionaries, metadata schemas, taxonomies, or data mappings. 
  • Experience documenting data exchanges, interfaces, or ETL processes. 
  • Strong understanding of relational databases and enterprise data management principles. 
  • Experience working collaboratively with technical and business stakeholders. 
  • Strong written and verbal communication skills. 
  • Ability to obtain and maintain a DHS Public Trust clearance.


Preferred Qualifications
  • Experience supporting Federal Government, DHS, or TSA information architecture initiatives. 
  • Knowledge of the Federal Data Strategy and enterprise data governance principles. 
  • Experience with metadata management, taxonomy development, and enterprise data catalogs. 
  • Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies. 
  • Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards. 
  • Experience with architecture repositories such as Ins-Pi or YouDesign. 
  • Familiarity with data mesh concepts and enterprise information architecture frameworks.


Preferred Certifications

One or more of the following certifications is preferred:

  • Certified Data Management Professional (CDMP) 
  • DAMA training or certification 
  • Database or SQL certification 
  • Cloud Data certification 
  • CompTIA Security+ 
  • Agile/Scrum certification 
  • Other relevant data governance or data modeling certifications