Metadata and Catalog Specialist

Posted 6 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
128K-173K Annually
Senior level
Aerospace • Information Technology • Professional Services • Security • Software
The Role
Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.
Summary Generated by Built In

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Lake, Data Warehousing (DW), Enterprise Data, Metadata Management

Certifications:

None

Experience:

7 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Metadata & Data Catalog Specialist will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.

The successful candidate will be responsible for implementing and operating CMM's metadata management, business glossary, data catalog, and data lineage capabilities to accelerate CMM modernization efforts. The role establishes consistent metadata practices, enables discovery and understanding of enterprise data assets, and configures and manages governance platforms, catalogs, metadata repositories, and related tooling that make enterprise data discoverable, well-defined, and traceable, enabling effective governance, data quality, and self-service data use across the organization.

The Metadata & Data Catalog Specialist will execute the following responsibilities:

  • Implement and maintain metadata management, business glossary, data catalog, and data lineage capabilities.
  • Configure, administer, and maintain data governance, catalog, metadata, and lineage platforms.
  • Establish metadata standards, structures, naming conventions, and management practices.
  • Develop and maintain the enterprise and domain-level business glossary.
  • Capture and maintain business, technical, operational, and governance metadata.
  • Establish relationships between data assets, business terms, data elements, systems, applications, reports, and data products.
  • Implement and maintain end-to-end data lineage across critical data assets and data flows.
  • Integrate metadata from source systems, databases, data warehouses, data lakes, APIs, ETL/ELT pipelines, BI platforms, and other data environments.
  • Configure metadata ingestion, scanning, classification, tagging, and discovery capabilities.
  • Support automated metadata harvesting and synchronization where appropriate.
  • Implement data ownership, stewardship, certification, and approval workflows within governance platforms.
  • Support onboarding new data sources and systems into the data catalog, including configuration of automated metadata harvesting and scanning.
  • Configure integrations between the data catalog/metadata platform and other governance, data quality, and IT systems.
  • Ensure metadata accurately reflects data definitions, classifications, ownership, sensitivity, retention, and other governance attributes.
  • Partner with Data Governance Analysts, Data Quality Analysts, Data Architects, Data Stewards, and business stakeholders to maintain trusted metadata.
  • Support data discovery and self-service data access for authorized users.
  • Develop dashboards and reports measuring catalog adoption, metadata completeness, stewardship, lineage coverage, and governance maturity.
  • Monitor metadata quality and identify gaps, inconsistencies, and stale metadata.
  • Support integration between catalog, governance, data quality, security, privacy, and enterprise architecture capabilities.
  • Develop documentation, procedures, and operating standards for metadata and catalog management.
  • Provide training and support to Data Stewards and business users on catalog and metadata capabilities.
  • Continuously evaluate and improve metadata management and data discovery capabilities.

QUALIFICATIONS:

  • MA/MS degree with 5+ years of general experience in information systems and 7+ years of specialized experience.
  • Demonstrated experience in supporting enterprise data governance programs.
  • Experience translating governance policy into practical operational processes in delivery environments.
  • Experience governing high-sensitivity or regulated data with clear compliance expectations.
  • Experience with access management and operationalizing privacy requirements.
  • Experience partnering with security, governance, and engineering teams to implement compliant data sharing.
  • Strong process mapping, documentation, and business analysis skills.
  • Excellent facilitation and stakeholder management skills, with the ability to work across business and technical teams.
  • Ability to translate policy and governance requirements into clear, actionable operational procedures.
  • Strong written and verbal communication skills, including development of training and change management materials.
  • Analytical mindset with strong problem-solving and organizational skills.
     

Preferred Qualifications

  • Experience in Federal Government or regulated environments.
  • Experience with enterprise data governance/catalog platforms.
  • Experience with enterprise data governance frameworks and operating models.
  • Data management certification.

The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Skills Required

  • MA/MS degree
  • 5+ years of general experience in information systems
  • 7+ years of specialized experience
  • Experience supporting enterprise data governance programs
  • Experience translating governance policy into practical operational processes in delivery environments
  • Experience governing high-sensitivity or regulated data with clear compliance expectations
  • Experience with access management and operationalizing privacy requirements
  • Experience partnering with security, governance, and engineering teams to implement compliant data sharing
  • Strong process mapping, documentation, and business analysis skills
  • Excellent facilitation and stakeholder management skills across business and technical teams
  • Ability to translate policy and governance requirements into clear, actionable operational procedures
  • Strong written and verbal communication skills, including training and change management materials
  • Analytical, problem-solving, and organizational skills
  • Experience in federal government or regulated environments
  • Experience with enterprise data governance and catalog platforms
  • Experience with enterprise data governance frameworks and operating models
  • Data management certification

General Dynamics Information Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.

  • Affordable Benefits Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
  • Healthcare Strength Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
  • Retirement Support A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.

General Dynamics Information Technology Insights

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The Company
HQ: Falls Church, VA
21,625 Employees

What We Do

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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