Jules Martin

Designed, built, and operated GovConDash, an intelligence and compliance platform that transforms federal acquisition, contract, and legal data into actionable insights. The platform integrates federal data sources into a governed analytics environment with automated data pipelines and end-to-end agentic workflows.

- Executed full lifecycle data engineering across five federal data sources (eCFR, SAM.gov, USAspending, GAO, ASBCA, COFC, Federal Circuit, SBA, SEC EDGAR, DoW Comptroller budget exhibits, and govinfo.gov legislative text (NDAA)), automating ingestion into a PostgreSQL data warehouse with Apache Airflow orchestration, data quality gates, and disaster recovery through scheduled backup validation.

- Managed 127 production datasets by developing data dictionaries, governance standards, natural key relationships, classification taxonomies, and knowledge graphs for more than 18,000 unstructured legal decisions, enabling relationship discovery, pattern detection, and trend analysis across compliance data.

- Evaluated and integrated emerging AI, analytics, and data platforms including PostgreSQL/pgvector, LangChain, LangSmith, OpenAI models, MCP, Databricks, Docker, VS Code, and Power BI, validating adoption decisions through retrieval accuracy, latency, and cost analysis.

- Automated multi-day manual compliance research workflows by building 20+ production agentic workflows across six compliance domains, each executing a deterministic sequence that retrieves from governed corpora, cites every source, and emits a client-ready deliverable.

- Engineered verification-first AI governance by validating every AI-generated citation, quotation, and financial value against source evidence, while logging every model execution to an auditable trail with token-level cost monitoring.

- Analyzed ASBCA decisions and GAO bid protests to produce quarterly intelligence reports highlighting legal trends, emerging procurement risks, and actionable recommendations.

As a Data Analytics Technical Specialist with DCAA, I am dedicated to leveraging data analytics to strengthen audit capabilities and support national security objectives. By integrating cutting-edge AI, automation, and data-driven insights, I help sustain and enhance the United States' global AI dominance. My expertise extends to various software applications, including Power BI, Excel, Power Query, Power Apps, Power Automate, and Advana Edge, and Programming Languages including, SQL, Python, M Code, DAX, and Fx, which I use to create and maintain advanced AI and data analytics techniques across the Agency. My commitment to innovation and collaboration helps drive efficiency and excellence in our audit processes and enhance America's global AI dominance.

Adjunct Instructor for Data Analytics Application and Modeling. This class focuses on application of data analytics. A five day live classroom format designed to provide auditors with knowledge and skills to apply data analytics as part of effective and efficient DCAA Audit.

Technical Programs Division (RST) Technical Program Specialist for DCAA, Central Region in the areas of Incurred Cost, Other Transaction Agreements, and Small Business. Provide guidance on sensitive and highly technical audits, perform audit steps in complex audits, monitor program areas, conduct special studies, and resolve complex audit problems. My major duties include providing technical advice and staff assistance, developing program goals and objectives, conducting research or special audit studies, and maintaining liaisons with various departments. With extensive knowledge of accounting and auditing, I serve as a technical expert and provide sound technical advice to Regional Audit Managers, FAO Managers, Supervisory Auditors, and Auditors.

As a supervisor, I managed a team of auditors, overseeing diverse assignments (Incurred Cost, Floorcheck, Negotiation Support). Efficiently handled appraisals, timesheets, leave requests, and training. Developed a highly effective Power BI Monitoring Tool, streamlining data and enabling real-time insights for informed decision-making. Proficient in data analytics, programming, and business intelligence. Promoted teamwork through Productive Work Teams meetings and provided valuable training. Engaged with SUPSHIP for exceptional customer support. Strong leadership and commitment to productivity.

As the Field Audit Office Assistant for Quality (FAQ) at DCAA, I excelled in a multifaceted role aimed at providing exceptional support and enhancing operations. I developed comprehensive training programs for DCAA auditors and supervisors, ensuring compliance with auditing standards. Additionally, I delivered training presentations at staff conferences, fostering a culture of excellence. Building strong relationships with external stakeholders, I improved collaboration with DCMA Detroit. Leveraging data analytics, I provided extensive training in Microsoft Excel and DCAA Power Tools, enabling data-driven decision-making. As a liaison, I facilitated effective communication with stakeholders. I reviewed audit reports, developed audit techniques, and conducted research, ensuring accuracy. Organizing staff conferences and team-building activities, I promoted cohesion and unity. Embracing DCAA's core values, I fostered continuous improvement, contributing to a positive work environment.

At the DCAA, I worked as a Senior Auditor at the Great Lakes Branch Office working on high priority audits on Defense contractors in the state of Michigan. I worked on a variety of audits assignments such as incurred cost audits, proposal audits, pre and post award accounting system audits, claim audits, paid voucher audits floor checks, and negotiation support. I also worked as an Acting Supervisor and reviewed working papers, provide feedback to team members, and updated Branch Manager on audit assignments.

Senior Auditor at Department of Defense Office of the Inspector General, Acquisition and Contract Management. Audited Multiple Award and Single Award Contracts with cost type task orders performed in Afghanistan and Pakistan.