Tim Driggers

About Tim Driggers

Product-focused engineering leader with a proven track record of transforming infrastructure operations into strategic business drivers. Specialized expertise in delivering measurable financial and operational outcomes at scale:FINANCIAL IMPACT: Delivered $2.1M in annual cost savings through intelligent CI/CD optimization and strategic infrastructure utilization strategies. Reduced deployment friction costs by 25% and decreased incident response expenditures by 35%.OPERATIONAL EXCELLENCE: Achieved 91% improvement in Mean Time to Detection (MTTD) through advanced monitoring and automated alert systems. Improved Mean Time to Recovery (MTTR) by 35%, reducing unplanned downtime and its associated business impact.TECHNOLOGY SCALE: Successfully led AI/ML Model Platform initiatives resulting in 50% reduction in production model deployment time. Optimized cloud infrastructure supporting millions of users with 100% uptime delivery and improved data integrity across all submission systems.LEADERSHIP IMPACT: Built and scaled high-performing engineering teams across platform engineering, cloud infrastructure, systems, and network disciplines. Fostered a culture of continuous improvement and collaboration across business units, resulting in measurable improvements in team productivity and capability growth.CORE EXPERTISE: Observability & Monitoring Platforms | AI/ML Infrastructure | Platform Engineering | Cloud Architecture (AWS/Azure)| Cost Optimization & Financial Engineering | DevOps & CI/CD | Network & Infrastructure | Executive Leadership & Team Development

Experience

1. Senior Director of Engineering, at Bayer Crop Science

   Bayer

   Nov 2021 — Present · Seattle, WA, US

   2.1M in Annual Cost Reductions: Delivered intelligent CI/CD optimization strategy with cost-saving initiatives across runtime optimization, infrastructure consolidation, and cloud resource efficiency—resulting in tangible financial impact to the business.91% Improvement in Incident Detection: Implemented advanced monitoring and automated out-of-SLA incident detection, reducing Mean Time to Detection (MTTD) from days to hours, protecting business continuity and preventing revenue loss.35% Faster Incident Response: Optimized incident management processes and alert systems, resulting in 35% improvement in Mean Time to Recovery (MTTR) through proactive remediation and automated alert systems.Production Model Deployment Efficiency: Championed AI/ML Model Platform and execution engine improvements, achieving 50% reduction in production model deployment time and accelerating time-to-value for machine learning initiatives.60% Runtime Optimization: Achieved 60% reduction in build times through infrastructure optimization and batch scheduling improvements, reducing operational costs and accelerating developer velocity.Infrastructure Reliability at Scale: Maintained 100% uptime across cloud platforms supporting millions of data submissions, with improved submission quality and upstream error detection.Cross-Functional Impact: Delivered compliance initiative improvements resulting in 99.95% vendor SLA compliance and standardized security protocols across technical infrastructure.

Education

• Washington State University

  BS, Civil Engineering

  1993 — 1997

Skills

• Integration
• Data Center Relocation
• Project Planning
• Kpi
• Software Development
• Development Management
• IT Financial Management
• Team Coordination
• Capital Budgeting
• Networking
• Process Improvement
• Information Technology
• Conference Speaking
• Linux
• Start-Ups
• Swot Analysis
• Outsourcing
• IT Strategy
• IT Management
• Security
• Enterprise Software
• Strategy
• E-Commerce
• High-Growth
• Service Delivery
• Business Analysis
• Project Management
• Data Center
• Software Development Methodologies
• Cross-Functional Team Leadership
• Crm
• Itil
• High Growth
• Virtualization
• Mobile Devices
• Key Performance Indicators
• Executive Communications
• Cloud Computing
• Project Facilitation
• Business Process