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Data Enablement Jobs in Virginia (NOW HIRING)

Senior Mortgage Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Our client is seeking a Senior Mortgage Data Analyst with 7-10 years of experience to support enterprise data transformation and enablement initiatives. This role combines deep data architecture ...

Data utilization and analysis : * Utilizing data from enablement tools to analyze sales interactions, calls, and meetings. * Identifying trends, patterns, and areas for improvement based on data ...

Sales Enablement Director

Arlington, VA · On-site

$100K - $120K/yr

Data utilization and analysis : * Utilizing data from enablement tools to analyze sales interactions, calls, and meetings. * Identifying trends, patterns, and areas for improvement based on data ...

Where Growth Operations owns the systems and data that run the pipeline, Enablement owns whether the field can actually use them - through onboarding, playbooks, process discipline, and change ...

The analyst will work closely with the Data Analytics & AI team to help scale AI adoption in a safe ... AI Adoption & Enablement * Support business teams as they learn to use approved AI tools such as ...

The analyst will work closely with the Data Analytics & AI team to help scale AI adoption in a safe ... AI Adoption & Enablement * Support business teams as they learn to use approved AI tools such as ...

Working closely with Linkage Sales leadership, this role ensures every qualified lead is equipped, nurtured, and converted through data-driven enablement programs that enhance both customer ...

Working closely with Linkage Sales leadership, this role ensures every qualified lead is equipped, nurtured, and converted through data-driven enablement programs that enhance both customer ...

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Data Enablement information

How does a Data Enablement professional typically collaborate with other departments to drive data-driven decision-making?

Data Enablement professionals work closely with departments such as marketing, finance, operations, and IT to ensure that accurate, accessible data informs strategic decisions. They often facilitate data literacy training, help teams define data requirements, and establish efficient data pipelines. Collaboration is key—regular meetings, workshops, and cross-functional projects are common to align data initiatives with business goals. This role also involves translating complex data concepts into actionable insights for non-technical stakeholders, fostering a culture of data-driven decision-making throughout the organization.

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

To thrive in Data Enablement, you need strong analytical skills, a solid understanding of data management principles, and experience with data governance, often supported by a degree in data science, information technology, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data integration platforms, and database systems are commonly required, along with certifications like CDMP (Certified Data Management Professional). Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable business strategies and foster data literacy across teams. These competencies are crucial for ensuring high-quality, accessible data that drives informed decision-making and organizational growth.

What is the difference between Data Enablement vs Data Analyst?

AspectData EnablementData Analyst
Primary FocusProviding tools, platforms, and infrastructure to empower data usersAnalyzing data to generate insights and reports
Skills & CertificationsData management, platform administration, data governanceStatistical analysis, SQL, data visualization tools
Work EnvironmentIT teams, data platforms, cross-functional teamsBusiness units, analytics teams, reporting environments
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsMarketing, finance, operations departments across industries

Data Enablement focuses on building and maintaining the infrastructure and tools that allow organizations to access and utilize data effectively. In contrast, Data Analysts interpret and analyze data to provide actionable insights. While both roles work with data, Data Enablement is more technical and infrastructure-oriented, whereas Data Analysts are more focused on analysis and reporting.

What is data enablement?

Data enablement is the process of making data accessible, usable, and valuable across an organization. It involves implementing tools, processes, and strategies that empower employees to access, analyze, and act on data efficiently. The goal of data enablement is to break down data silos, improve data literacy, and support better decision-making by ensuring the right people have the right data at the right time.
What job categories do people searching Data Enablement jobs in Virginia look for? The top searched job categories for Data Enablement jobs in Virginia are:
What cities in Virginia are hiring for Data Enablement jobs? Cities in Virginia with the most Data Enablement job openings:
Infographic showing various Data Enablement job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Mortgage Data Analyst

TheStaffed

Mclean, VA • On-site

$86K - $109K/yr

Contractor

Posted 15 days ago


Job description

Our client is seeking a Senior Mortgage Data Analyst with 7-10 years of experience to support enterprise data transformation and enablement initiatives. This role combines deep data architecture expertise with business analysis skills to drive data lineage, governance, and strategic alignment across mortgage operations.
Responsibilities & Qualifications
  • Perform comprehensive data lineage analysis, profiling, and mapping across enterprise systems to identify data flows and quality issues
  • Define business requirements and user stories for data enablement teams through stakeholder collaboration and requirements elicitation
  • Analyze event-driven and entity-based data models; map legacy data assets to target state architectures
  • Partner with business and technical stakeholders to assess business impacts of target state designs and manage expectations throughout planning
  • Support quality oversight, define acceptance criteria, and coordinate QA and UAT activities to ensure deliverable excellence
  • Leverage AI tools (Microsoft Copilot, ChatGPT, Claude) to enhance analysis efficiency and accelerate insights

Requirements
  • 7-10 years of experience in data analysis, business analysis, or enterprise data architecture roles
  • Proven expertise in data lineage analysis, data profiling, data mapping, and data governance frameworks
  • Strong knowledge of cloud-based data platforms (Snowflake, Databricks) and major cloud providers (Azure, AWS, Google Cloud)
  • Solid understanding of event-driven and entity-based data modeling approaches
  • Experience with requirements elicitation, business process analysis, and stakeholder management
  • Proficiency in Agile methodologies and tools such as Azure DevOps and Jira
  • Familiarity with AI-assisted analysis tools (Microsoft Copilot, ChatGPT, Claude) is a plus
  • Secondary mortgage industry knowledge strongly preferred