Title: Analyst, Applications Support III
Duration: 7 month contract
Location: Denver, CO, 80202 (Remote)
Job description:
Lead, AI & Automation Catalyst – Application Operations
Role Summary
The AI & Automation Catalyst is a high-impact, hands-on role dedicated to transforming the Application Support team from a manual triage shop into an automated, AI-first organization. This is a senior implementation role focused on identifying manual friction, building AI agents, and implementing self-healing workflows. Beyond technical delivery, the Catalyst is a change agent responsible for mentoring the team, demystifying AI, and shifting the collective mindset from "manual-first" to "automation-permanent."
Core Mission
· Eliminate manual toil through the rapid creation of AI agents and automated scripts.
· Identify & Implement "digital coworkers" to handle log parsing, data validation, and initial triage.
· Shift the team mindset toward AI adoption and proactive automation.
· Upskill the organization by proving the value of automation through tangible, daily wins.
· Reduce operational drag by replacing repetitive human intervention with autonomous logic.
Key Responsibilities
Hands-on Automation & Agent Implementation
· Serve as the primary builder of localized AI agents and automation scripts to handle common support tasks.
· Identify high-frequency "manual drags" within the team and build automated solutions to eliminate them.
· Develop and deploy "self-healing" patterns that trigger fixes based on known failure signatures.
Team Mentorship & Cultural Transformation
· Act as the AI Mentor for the Application Support team, conducting hands-on sessions to show analysts how to leverage AI in their daily work.
· Partner with senior analysts to re-engineer manual troubleshooting runbooks into automated workflows.
· Change the team’s perception of AI from a "black box" to a highly capable personal assistant.
Advanced Triage Automation
· Build agents that can independently query databases and parse logs from ServiceNow, or Dynatrace to provide a verified RCA for the team.
· Hook existing monitoring tools into AI-driven workflows to provide analysts with "instant context" for every incoming incident.
· Ensure that automation doesn''t just "alert" but actively gathers the data required for a human to make a final decision.
Operational Metrics & Scalability
· Identify recurring failure patterns and systemic gaps that can be solved via code rather than more headcount.
· Quantify the impact of automation by tracking "Manual Hours Gained" and improvements in MTTR.
· Define a repeatable automation playbook that can be shared across the broader I&O organization.
Required Qualifications:
· Hands-on AI Proficiency: Demonstrated ability to implement Generative AI, Vector Search, and AI Agents (Oracle or Google Cloud context preferred).
· Technical "Swiss Army Knife": Must be highly functional in SQL, Python, and Scripting; able to "dig into" issues and build the solution immediately.
· Change Management Skills: Proven ability to operate as a "self-starter" and influence team culture without formal authority.
· Excellent ability to translate complex AI concepts into practical, everyday support tools.
Role Characteristics:
· Individual Contributor (focused on building, not managing people)
· Technical Change Agent / Mentor
· High Autonomy, High Implementation Velocity
· Pattern-Builder and Problem-Eliminator
Measures of Success
· A measurable percentage of manual support tasks transitioned to AI-assisted or Automated.
· Observable shift in the team’s independent usage of automation tools.
· Faster resolution of cross-system incidents due to automated data gathering.
· Creation of a "Library of Agents" that perform repetitive triage tasks.