Margaret Smith

Maggie Smith is a Managing Director at Protiviti with 15+ years experience delivering data and AI solutions to Aerospace and Defense (A&D). Her role is focused on developing Protiviti’s AI capabilities and A&D business. She specialises in applied delivery of AI, to include generative AI (GenAI) and ML, for use cases such as threat analysis, supply chain, and fraud.

Her experience includes end-to-end delivery of AI systems for the Department of Defense, Intelligence Community, US Department of State, and US Department of Homeland Security. She is particularly proud of leading ground-breaking work delivered to Defense and Intelligence Advanced Research Agencies in the fields of computer vision, natural language processing, and GenAI. She has experience performing data engineering, machine learning model development, dashboard / UX deployment and AI strategy efforts.

Career Highlights

• Delivered scaled AI program and platform to US Department of State for threat analysis, interagency and international collaboration for AI-training and adoption.
• Help with early adoption of GenAI for the US Army’s delivering natural language search, query and chat to a logistics readiness reporting system securely enabled via AWS Bedrock hosted LLMs on US Army infrastructure.
• Launch of IC-entity ML Center of Excellence delivering 10+ ML use cases and plan to scale and sustain AI capabilities in under 6-months to accelerate security dominance.
• US Intelligence Community Analyst delivering data-driven cyberthreat reporting and analysis for US Operations Enduring Freedom, Odessey Dawn, and War on Terror leveraging time series, geospatial, network analysis and clustering.

Major Projects

Large Defense Logistics Agency, Supply Network Optimisation

Led modeling and simulation effort to optimise readiness of a large defense agency’s global supply network leading to identification of $75M+ in near term efficiencies and courses of action (COAs) for realising $1B+ over time.

• Performed data collection, analysis, and integration to develop training data set and network assumptions / constraints.
• Ran simulations to deliver multiple COAs for supply resilience based on factors such as transportation cost and availability, wholesale / retail positioning, demand, and redundancy / security factors.
• Incorporated AI forecasting for geopolitical and mission event impacts.
• Delivered expanded metrics / KPIs for operational efficiency and enhanced collaboration across departments.

US Federal Intelligence Agency, Director’s Dashboard

Implemented data analytics, reporting and visualisation tools to boost supply chain visibility and accountability effectively leveraged by logistics directorate and agency C-Suite executives for daily reporting and decision-making.

• Used data reporting to drive operational efficiencies such as warehouse disposals, digitisation of receipts, enhanced equipment tracking, and maintenance predictions for industrial items.
• Performed AI forecasting to inform operational decisions and account for geopolitical and mission events.

Areas of Expertise

• Artificial Intelligence (AI) / Machine Learning (ML)
• Data Readiness
• Generative AI
• Secure AI and Data Systems
• Data and AI Strategy
• Key topics: Supply Chain, Fraud, Threat Analysis

Industry Expertise

• US Department of Defense
• US Intelligence Community
• US Department of State
• US Department of Justice
• US Department of Homeland Security
• Foreign Military and Law Enforcement

Education

• Certificate in Data Science, Georgetown University
• MA, International Affairs, Georgetown University
• MA, History, Bates College

Professional Memberships and Certifications

• DoD TS/SCI Clearance
• COMPTIA Security+
• Tools: Python, R, SQL, AWS, Azure, Databricks, Palantir, Elastic, SAS, Esri