Senior Engineering Technical Program Manager Jira Administration

Secure Every Identity from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. Were all in on this mission. If you are too lets talk.

As the Okta Research & Design (ORD) Jira Owner & Administrator nested within the Technical Program Management (TPM) organization you will define and execute the strategy for how ORD plans tracks and reports on engineering work within the full toolchain of Atlassian Jira Jira Advanced Roadmaps (Plans) Confluence Rovo and AI this role you act as a critical bridge between product & technical leadership agile teams and cross-functional business units translating methodology best practices and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1000 person engineering product and design organization.

By optimizing tooling configurations automating reporting and eliminating fragmented management processes you will directly accelerate ORDs developer velocity and strengthen operational efficiency.

• Strategic Vision: Define implement govern an AI-led strategy for utilizing Jira for product planning tracking and reporting tooling that supports end-to-end portfolio tracking from high-level corporate objectives down to sprint-level stories.
• E2E Ecosystem Management: Complete ORD ownership of the toolchain (Jira Jira advanced Roadmaps AI integrations Confluence) overseeing architecture schema updates workflow management screen/notification schemes custom fields permission sets and AI integrations.
• Scale and Automation: Design a highly automated self-service model that easily scales to accommodate organizational growth in user volume and environmental complexity.
• AI Tool Integration: Lead evaluation piloting and rollout of AI-powered tooling (e.g. Atlassian Rovo Claude for Jira AI Companion) to automate ticket triage sprint planning suggestions and status summarization.

• PDLC Alignment: Partner closely with Product Management Engineering Quality Assurance and Security to align tool mechanics with the companys release cadences secure SDLC requirements and change control policies.
• Workflow Design: Standardize Jira workflows to track key engineering pillars uniformly (e.g. New Feature Development Architecture Improvements and Run-the-Business/KTLO operations).
• Eliminate Tool Fragmentation: Actively lead efforts to migrate teams away from disjointed standalone tracking sheets and custom scripts into Jira to create a single synchronized source of truth.

• Source of Truth Data: Ensure data integrity within Jira to allow executive leadership to accurately assess resource allocation identify horizontal dependencies map organizational priorities and make informed business investment decisions.
• Metrics Reporting: Oversee configurations for integrated reporting engines (such as ) to surface real-time visibility into engineering productivity metrics cycle time lead time pipeline health and bottleneck identification.
• Change Control & Risk Management: Serve as a core member of the Jira Change Control Board (CCB) assessing the risk levels (Low Medium High) of configuration requests to protect the functionality of critical engineering dashboards and tracking filters.

• User Enablement: Create intuitive scalable enablement packages documentation and training guides to ensure seamless platform onboarding for new and existing Oktanauts.
• Ongoing Administration: Act as an independent administrator managing day-to-day configuration requests custom JQL filtering role/privilege assignments and automation rules.
• Cross-Functional Partnership: Collaborate deeply with internal customersDevelopers Scrum Masters Engineering Managers Design Leads and Product Leadsto capture gaps and build creative process improvements.

• Education: Bachelors degree in Computer Science Information Technology Business Technology or a related field; or equivalent practical experience.
• Atlassian Expertise: Proven hands-on experience in Advanced Jira and Confluence Administration within an enterprise-scale engineering ecosystem (supporting 500 users).
• Technical Languages: Essential proficiency with Jira Query Language (JQL) basic SQL or equivalent database queries.
• AI Proficiency: Hands-on experience integrating AI tools (e.g. Claude Gemini Atlassian Rovo GitHub Copilot) into product development workflows with a demonstrated ability to evaluate pilot and scale AI capabilities across engineering teams.
• Agile Methodology: Thorough understanding of agile/lean development Scrum frameworks sprint execution ceremonies and SAFe/Portfolio-level planning models.
• PDLC & SDLC Knowledge: Deep conceptual awareness of modern software engineering practices release management trains CI/CD pipelines and infrastructure deployment models.

• Advanced Tools: Deep experience leveraging Jira Service Management Jira Advanced Roadmaps (Plans) and metrics platforms like .
• Scripting & Automation: Strong willingness or ability to extend native Atlassian functionality through scripting macros and API automations.
• Analytical Rigor: Excellent critical thinking and advanced troubleshooting capabilities using application logs and configuration event logs.
• Communication: Stellar written and verbal communication skills; a proven track record of synthesizing dense technical conditions into clear executAI Workflow Design: Experience designing AI-augmented workflows such as automated ticket enrichment AI-driven sprint retrospectives or LLM-assisted reporting that reduce manual TPM overhead.

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Required Experience:

Senior IC