John Rizor

About John Rizor

Driven by curiosity and a genuine love for technology, I turn innovative ideas into powerful, scalable solutions. Whether I’m diving into AI, crafting seamless applications, or designing technical architectures, I thrive on exploring new frontiers and mastering emerging tools. • Experienced in building and optimizing applications that solve real-world problems• Skilled in AI integration, cloud solutions, and creating seamless user experiences• Strong collaborator who values teamwork, mentorship, and creative problem-solving• Lifelong learner committed to staying at the forefront of technology trendsI love connecting with others who are passionate about technology and making a positive impact. Let’s connect and build something great together.

Experience

1. Servicenow Lead Developer

   Deloitte

   Jun 2023 — Present · Denver, CO, US

   Serving as a Technical Manager and Lead Developer for three concurrent App Engine and HRSD workstreams with the Army. Lead Agile delivery, roadmap strategy, and cross-functional teams to translate complex DoD requirements into scalable, secure, and interoperable ServiceNow solutions.• Architected a custom App Engine solution for Army Talent Management for Soldiers across the enterprise.• Established enterprise data governance and secure APIs connect to automate data transfer between legacy systems and ServiceNow.• Engineered a scalable expansion strategy, introducing AI-driven competency models to drive long-term platform sustainment and enterprise adoption.• Orchestrated technical operations for a 150+ user pilot, rapidly deploying major feature enhancements and managing helpdesk workflows to ensure mission success.• Led the technical expansion of the Career Pathing Tool for Development Command, delivering a successful pilot that validated cross-command adaptability.• Designed a real-time Talent Management Dashboard for C-Suite Executives, providing leadership with critical visibility into workforce attrition and talent metrics.• Supported the creation of an AI-powered asset accelerator that equips clients and internal teams with a dynamic tool for addressing real-time talent challenges. This solution significantly reduced resource allocation timelines—from months down to weeks—streamlining talent management processes and driving operational efficiency. • Designed a real-time Talent Management Dashboard for C-Suite Executives, providing leadership with critical visibility into workforce attrition and talent metrics.

Education

• Embry-Riddle Aeronautical University

  Associate of Science - AS, Technical Management

• Appalachian State University

  Bachelor of Science (B.S.), Criminal Justice

  2008 — 2013

• Grand Canyon University

  Master of Science - MS, Industrial and Organizational Psychology

  2018 — 2020