Lead Business Data Analyst — Data Modernization & AI

General Dynamics Information Technology

United States

On-site

USD 147,000 - 199,000

Full time

14 days+

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Job summary

General Dynamics Information Technology seeks a Lead Business Data Analyst to support the Case Management Modernization program for the Administrative Office of the US Courts. You will bridge business stakeholders and delivery teams to capture, govern, and translate requirements into high-quality data products, supporting data governance, analytics, and AI/ML capabilities.

You will drive requirements management, STTM development, and documentation across multiple scrum teams in an Agile federal

Qualifications

7+ years of related experience in information systems or data programs.
Experience with requirements management, data analysis, and documentation.
Experience working in federal or regulated environments and with Agile/Scrum delivery.

Responsibilities

Lead elicitation, analysis, and documenting business, functional, and data requirements for CMM data products and analytics.
Lead development and maintain Source-to-Target Mappings (STTMs), workflows, and data requirements documentation.
Facilitate stakeholder workshops, working sessions, and governance meetings, capturing decisions and action items.
Translate statutory, operational, and reporting needs into clear user stories and acceptance criteria.
Support data governance coordination, ensuring alignment with standards, policies, and stewardship decisions.
Partner with data engineers and architects to validate data models, transformations, and reporting logic.
Ensure requirements incorporate data classification, security, and access control considerations.
Support testing activities, including test planning, validation of results, and user acceptance testing (UAT).
Produce and maintain Agile artifacts (backlogs, user stories, traceability matrices).
Contribute to metadata catalog ingestion by defining business definitions and data attributes.
Support training, documentation, and communication for CMM data products users.
Ensure all documentation is audit-ready, version-controlled, and SOW-compliant.