William Harris

Senior data and enterprise technology leader with over two decades of experience delivering mission-critical data platforms, analytics environments, and enterprise systems across the Intelligence Community (IC) and Department of Defense (DoD). Proven ability to architect and operationalize large-scale data ecosystems, integrate structured and unstructured data, and lead cross-functional teams in high-risk, politically sensitive environments. Expert in translating complex operational requirements into scalable data engineering solutions, driving innovation through cloud, AI/ML, and automation technologies. Recognized for aligning data strategy, architecture, and acquisition to support national-level decision-making and mission outcomes.

Enterprise Data Platforms & Architecture

• Architected and led enterprise-scale data environments integrating disparate data sources across IC and DoD ecosystems.
• Designed data strategies aligning workforce, data, and product domains to support long-term organizational transformation.
• Directed development of scalable data platforms enabling analytics, reporting, and operational decision-making.
• Established governance frameworks for data architecture, retention, dissemination, and lifecycle management.

ETL/ELT Development & Data Processing

• Designed and implemented automated pipelines for ingesting, parsing, transforming, and validating structured and unstructured data.
• Developed large-scale data workflows supporting aeronautical, geospatial, and enterprise operational datasets.
• Built and optimized processes for extracting data from complex formats (e.g., PDFs, international data publications).
• Enabled near real-time data comparison and synchronization across production systems.

Automation, AI & Advanced Analytics

• Led development of AI-driven change detection capabilities, reducing processing timelines from weeks to days.
• Implemented automated data extraction pipelines leveraging cloud-native services to process global datasets at scale.
• Applied data science methodologies to identify ~20% efficiency gains across production workflows.
• Enabled predictive and analytical capabilities supporting logistics, intelligence, and operational planning.

• Reduced large-scale data processing timelines from ~5 weeks to under 18 days through automation.
• Designed cloud-based system processing global aeronautical datasets across ~100 countries in near real-time.
• Identified and implemented solutions yielding ~20% efficiency improvements in production workflows.
• Led enterprise data governance and migration strategy into IC cloud environments.
• Directed development of AI-enabled data platforms supporting logistics and intelligence decision-making.
• Successfully led and mentored teams of 25+ personnel in complex technical environments.