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Jira Service Management Specialist
Job in
Madison, Dane County, Wisconsin, 53774, USA
Listed on 2026-10-19
Listing for:
Sundial Software Corporation
Full Time
position Listed on 2026-10-19
Job specializations:
-
IT/Tech
IT Business Analyst, Business Systems & Technology Analysis, AI Business & Operations, Systems Analyst
Job Description & How to Apply Below
This role combines platform configuration, workflow automation, service management best practices, and AI-enabled capabilities to improve operational efficiency, customer experience, and organizational productivity.
Role-Specific Responsibilities- Configure workflows, forms, approvals, notifications, and automation rules.
- Streamline service delivery through intelligent workflow design.
- Integrate JSM with enterprise applications and business processes.
- Integrate automation to reduce manual effort and improve service consistency.
- Leverage Atlassian Intelligence and Rovo capabilities to improve knowledge discovery, virtual assistance, and service automation.
- Identify opportunities to enhance service experiences using AI-powered workflows.
- Monitor and optimize AI-enabled service capabilities.
- Minimum 5 years of hands-on experience configuring and administering Jira Service Management (JSM) & demonstrating and integrating Jira Service Management (JSM) with third-party enterprise systems (e.g., SSO/identity providers, monitoring tools, HR systems, or ERP platforms) using REST APIs, webhooks, or native connectors
- Minimum 5 years of experience designing and implementing service management workflows, automation rules, and request type configurations aligned to ITIL or equivalent frameworks
- Minimum 5+ years' experience helping enterprise clients improve service delivery operations, tooling adoption, or ITSM process maturity
- Minimum 5 years of experience hands-on experience with Atlassian automation (native JSM rules or third-party tools such as Script Runner or Automation for Jira) to reduce manual effort and improve consistency
- Bachelor's degree or equivalent
- Deep familiarity with JSM project types (IT service management, government, customer service, HR service delivery) and their underlying configuration models
- Experience with advanced JSM features including assets/CMDB, change management workflows, SLA configuration, and multi-channel intake (portal, email, chat, API)
- Proficiency with Jira Query Language (JQL) for queue management, reporting, and automation trigger conditions
- Familiarity with Confluence as a knowledge base layer integrated with JSM for article suggestion and self-service deflection
- Experience designing and optimizing customer-facing portals for usability, accessibility, and request clarity
- Working knowledge of Atlassian Intelligence features within JSM — including AI-assisted ticket summarization, suggested responses, and similar request detection
- Experience configuring or piloting Rovo-powered virtual agents or knowledge assistants integrated with JSM workflows
- Ability to identify AI deflection and automation opportunities within service queues and design measurable pilots to validate impact
- Familiarity with prompt engineering concepts as applied to configuring conversational AI experiences within Atlassian or similar platforms
- Experience mapping current-state service delivery processes, identifying waste, and designing optimized to-be workflows
- Ability to define and track service management KPIs (SLA compliance, MTTR, deflection rate, first-contact resolution) and use data to drive continuous improvement
- Ability to facilitate meetings with service owners, process leads, and platform administrators to surface requirements and prioritize configuration work
- Experience producing service management documentation including process maps, configuration guides, runbooks, and training materials
- Ability to benchmark client JSM maturity against industry peers and frame improvement opportunities as phased, value-driven roadmaps
- Proven ability to translate business service requirements into platform configurations and communicate tradeoffs to both technical and non-technical stakeholder
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