JAKE JOHNSON

Colorado Springs, CO | 📧 jajo9147@gmail.com | 📱 (919) 525-0063

STRENGTHS: DATA SCIENCE | AI/ML | BUSINESS STRATEGY | FINANCE | LEADERSHIP | ANALYTICS | OPERATIONS

Results-driven Associate Director of Data Science with 12 years of leadership experience, including time as a U.S. Army Ranger. Proven success delivering over $28M in business value through AI/ML, strategic analytics, and operational excellence. Skilled in managing cross-functional teams, driving campaign effectiveness, and developing automated solutions that scale. MBA from UT Austin’s McCombs School of Business. Passionate about solving complex business problems with data-driven solutions, seeking to lead cross-functional teams where AI and insight unlock business growth.

Experience

• Built scalable machine learning solutions that drove a 15% lift in campaign revenue attribution by improving decision intelligence across marketing channels
• Partnered with Finance to implement a model evaluation system that tied model impact to sales attribution, surfacing 20–30% of influence in top campaigns
• Established a governance model intake and validation framework, reducing project approval time by 40% and prioritizing high-impact initiatives, contributing to $28M+ in business value over the year
• Led a six-person data science team; accelerated model delivery by 40% and reduced bottlenecks by 20% through agile workflows and stakeholder alignment

• Automated Verizon trouble tickets through data visualizations, cutting 1,490 hours of research and decreasing dispatching equipment with a cost savings of $5M a year
• Collaborated with two senior vice presidents to develop a data visualization for Verizon's Mobile to Fios Referrals, incentivizing call agents to drive new accounts and increase revenue $15M with over 95K referrals a year
• Designed and developed Verizon's first Qlik dashboard to analyze block group-level data, identifying opportunities to convert Verizon Home Internet customers into joint subscribers of both VHI and Mobile services

• Enhanced client financial satisfaction with analytics in the finance industry’s largest dataset for a top management firm

• Led a 17-member team through business process redesign of reporting workflow, optimizing data extraction for critical insights, and achieving a 30% reduction in program office reporting time
• Supervised quarterly trend analytics reviews in SAP, organizing KPI metrics against annual spending plans for a company with 5,000+ personnel and a $102M annual portfolio
• Evaluated adequacy of controls with corporate policies and regulatory requirements, making recommendations to improve efficiencies and reducing annual contract costs by $5M

• Advised executive leadership through intelligence dashboards to strategically realign placement of 600 personnel, resulting in a 3-hour preparation time saving and efficient crisis response throughout Afghanistan
• Planned, programmed, and directed 32 airborne operations with no casualties, utilizing data visualization dashboards

• Trained and led 45 personnel to support a company in a fast-paced environment, increasing readiness
• Mentored eight subordinates on leadership while executing 78 readiness and skills refinement events

• Led logistics and execution for high-profile university events including a nationally televised presidential primary debate and donor summits, coordinating cross-functional teams and aligning with executive stakeholders

Education

The University of Texas at Austin
Master of Business Administration: Data Analytics & Strategy

Aug 2023 – May 2025

University of Colorado at Boulder
Bachelor of Science: Political Science / Economics

Aug 2012 – May 2016

Skills

Projects

PyTorch Tabular Binary Classifier

A neural network built in PyTorch for binary classification on structured tabular data. Simulates real-world use cases such as customer churn prediction or ISR target classification. Achieved 89% test accuracy.