AI/ML Data Analyst

Join GDIT and be part of the Unified Claims Acceleration Platform (UCAP) solution, where your work accelerates claims processing for the Department of Veterans Affairs (VA), our Veteran-first vision to transform the Veterans Benefits Administration (VBA) into a paperless, AI-enabled organization. Together, we’re building a future of fast, transparent claims, empowered teams, and a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served. 

As part of the Unified Claims Acceleration Platform (UCAP) team, the Data Analyst will serve as the connective tissue between mission needs, raw data sources, and AI/ML pipelines. This role blends analytical thinking, VA business domain expertise, and hands-on data exploration to help define what data is used, how it’s shaped, and where it’s delivered for downstream use in intelligent workflows. Working closely with data engineers and scientists, this analyst plays a foundational role in ensuring the success of automation and GenAI solutions. 

Key Responsibilities: 

• Partner with VA stakeholders, data scientists, and engineers to understand data requirements for AI use cases, including veteran claims, medical records, and service histories 

• Identify, assess, and prioritize source data sets—whether structured or unstructured—based on quality, completeness, and relevance to targeted outcomes 

• Define and document business logic for filtering, transforming, and enriching data sets to support ML training and inference 

• Support data mapping, profiling, and lineage documentation to guide the development of ETL pipelines and ensure semantic accuracy 

• Collaborate with engineers to validate outputs of data pipelines and troubleshoot anomalies in structured and semi-structured formats 

• Perform hands-on exploratory analysis to uncover trends and business insights that inform AI/ML model development 

• Help translate policy and regulatory constraints (e.g., PII/PHI, veteran eligibility criteria) into data handling rules 

Required Qualifications: 

• Bachelor’s degree in Information Systems, Data Analytics, Public Policy, or a related field 

• 2+ years of experience in data analysis, business analysis, or data-centric product support roles 

• Strong understanding of VA/VBA mission areas, especially disability claims processing, medical records, or veteran-facing benefits systems 

• Hands-on experience working with data in SQL, Excel, and Python (basic proficiency) 

• Proven ability to read and interpret data schemas and structures in relational and/or document-based databases 

• Excellent collaboration skills with engineering, science, and business teams in an Agile environment 

• Ability to obtain and maintain a Position of Trust and pass a government background screening 

Preferred Qualifications: 

• Experience supporting AI/ML or GenAI initiatives, especially around training data preparation or model interpretability 

• Familiarity with AWS data services (e.g., S3, Glue, Redshift, Athena) and basic data pipeline concepts 

• Prior experience working with federal health or benefits data, ideally at the VA