Résumé

Daniel A. Burgess
Provo, UT · datadanburgess@gmail.com · linkedin.com/in/daniel-burgess-data · groundedintelligences.com

Data & AI Engineering Leader — Enterprise Analytics, Production LLM/RAG, Program Operations

SUMMARY

Twenty years at Lockheed Martin (Space Systems and Aeronautics) building the data, automation, and AI backbone of aerospace program operations: production ML/NLP/RAG systems with evaluation harnesses, guardrails, and audit logging; real-time manufacturing and earned-value analytics; and automation returning thousands of labor hours and multi-million-dollar quantified savings annually. Pairs regulated-enterprise rigor (EVMS, CAM, Six Sigma) with startup-speed independent engineering: a production serverless fleet, LLM fine-tuning, and multi-agent systems built solo end to end. Graduate training in Industrial/Organizational and Counseling Psychology; licensed Marriage and Family Therapist. MIT-trained in systems engineering and model-based design.

CORE SKILLS

Data & AI: Python, SQL, SAP HANA, Alteryx (356-tool production pipelines), Tableau, Splunk, NLP, RAG architecture, LLM evaluation and guardrails, predictive modeling

Program operations: EVMS / earned value, CAM, WBS development, proposal costing, subcontract and supplier financial management, capacity and workforce modeling, manufacturing metrics

Platform engineering: Cloudflare Workers / D1 / R2 / Vectorize, API design, SharePoint + Power Automate enterprise workflow, Excel/VBA

Process rigor: Lean Six Sigma Green Belt (LM21), Black Belt program mentor, SOX controls, UAT leadership

EXPERIENCE

Lockheed Martin Aeronautics — Data Analyst, Staff | Finance & Business Operations, Digital Transformation (2021–Present)

• Lead architect of enterprise AI/ML, automation, and analytics; 17+ concurrent digital-transformation projects with $3M+ in quantified savings.
• Built a 356-tool Alteryx ML/NLP pipeline integrating SAP HANA and the enterprise data warehouse; Python text mining feeds a Tableau executive dashboard that recovered 2,132 labor hours per year.
• Led enterprise proof-of-concept and scale-up of Retrieval-Augmented Generation for financial-data classification, with evaluation workflows, hallucination guardrails, and audit logging.
• Co-led an LLM tax-determination assistant evaluated against 415,000 historical scenarios; targets a 31% reduction in purchase-order error rates.
• Built Factory Logix SQL-to-Tableau integration delivering real-time manufacturing metrics; recognized with the 2026 top team award (top <1% of Aeronautics employees) for a major cross-functional cost-mitigation initiative.

Lockheed Martin Space — Financial & Enterprise Analytics, ascending roles to Staff (2006–2021)

• Designed the company-wide Enterprise Allocation Tool for the Space business area, cutting allocation processing time 90%.
• Led enterprise capacity analytics and COVID-19 Task Force workforce modeling with configuration-controlled models and Splunk predictive dashboards.
• Delivered a six-dashboard executive suite (earned value, make/buy, master schedule); enterprise SME for SharePoint, TIBCO, and Tableau.
• Managed 50+ suppliers on a major space program as a CAM-certified Cost Account Manager; VBA financial-modeling tools adopted across the Manufacturing Finance organization supporting a ~$1B production portfolio; five company recognitions.
• Managed $800M+ in subcontractor budgets on classified national-security space programs; developed WBS dictionaries directly with government customers; contributed to multiple competitive program wins.

Independent — AI & Platform Engineering (2021–Present)

• LLM fine-tuning experiments with custom evaluation harnesses; multi-agent orchestration and RAG pipelines over large research corpora.
• Operate a production Cloudflare serverless fleet (Workers, D1, R2, vector search) with automated health monitoring, self-healing supervisors, and dead-man's-switch backup verification, designed and run solo.

Grant Thornton LLP — Business Consultant, Silicon Valley (2005–2006)

• Audited financial cycles and implemented Sarbanes-Oxley controls, consulting directly with CEO/CFO/COO executives.

EDUCATION & CERTIFICATIONS

• MIT xPRO: Architecture of Complex Systems; Quantitative Methods in Systems Engineering; Model-Based Systems Engineering (2021)
• M.S. Industrial/Organizational Psychology and M.A. Counseling Psychology — JFK University (2015)
• B.S. Corporate Finance and B.S. Business Management (dual degree) — Utah Valley University
• Alteryx Core Certified (2024) • Lean Six Sigma Green Belt (LM21) • EVMS Practitioner • CAM Certified
• Licensed Marriage & Family Therapist (CA, UT); founder of a multi-clinician private practice

CLEARANCE

Previously held U.S. DoD clearances up to Top Secret/SCI (TS/SCI) during classified space-program assignments (inactive since 2016).