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About the Role

As the Okta Research & Design (ORD) Jira Owner & Administrator, 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 integrations. You will act as a critical bridge between product & technical leadership, agile teams, and cross-functional business units, translating methodology and best practices into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person organization. By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD’s developer velocity and strengthen operational efficiency.

Responsibilities

Define, implement, and govern an AI-led strategy for utilizing Jira for product planning, tracking, and reporting tooling that supports end-to-end portfolio tracking.
Oversee the entire ORD toolchain (Jira, Jira advanced Roadmaps, AI integrations, Confluence), including architecture, schema updates, workflow management, screen/notification schemes, custom fields, permission sets, and AI integrations.
Design a highly automated, self-service model that scales to accommodate organizational growth.
Lead the evaluation, piloting, and rollout of AI-powered tooling to automate ticket triage, sprint planning suggestions, and status summarization.
Partner with Product Management, Engineering, Quality Assurance, and Security to align tool mechanics with the company's release cadences, secure SDLC requirements, and change control policies.
Standardize Jira workflows to track key engineering pillars uniformly.
Lead efforts to migrate teams away from disjointed standalone tracking sheets and custom scripts into Jira.
Ensure data integrity within Jira for accurate assessment of resource allocation, dependencies, and priorities.
Oversee configurations for integrated reporting engines to surface real-time visibility into engineering productivity metrics.
Serve as a core member of the Jira Change Control Board (CCB), assessing risk levels of configuration requests.
Create intuitive, scalable enablement packages, documentation, and training guides for platform onboarding.
Manage day-to-day configuration requests, custom JQL filtering, role/privilege assignments, and automation rules.
Collaborate with internal customers to capture gaps and build creative process improvements.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Business Technology, or a related field; or equivalent practical experience.
Proven, hands-on experience in Advanced Jira and Confluence Administration within an enterprise-scale engineering ecosystem (supporting 500+ users).
Essential proficiency with Jira Query Language (JQL), basic SQL, or equivalent database queries.
Hands-on experience integrating AI tools into product development workflows, with a demonstrated ability to evaluate, pilot, and scale AI capabilities.
Thorough understanding of agile/lean development, Scrum frameworks, sprint execution ceremonies, and SAFe/Portfolio-level planning models.
Deep conceptual awareness of modern software engineering practices, release management trains, CI/CD pipelines, and infrastructure deployment models.
Deep experience leveraging Jira Service Management, Jira Advanced Roadmaps (Plans), and metrics platforms like Faros.ai.
Strong willingness or ability to extend native Atlassian functionality through scripting, macros, and API automations.
Excellent critical thinking and advanced troubleshooting capabilities using application logs and configuration event logs.
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 that reduce manual TPM overhead.

Skills

Jira
Jira Advanced Roadmaps (Plans)
Confluence
Rovo
AI integrations
Jira Query Language (JQL)
SQL
Agile methodology
Scrum
SAFe
PDLC
SDLC
CI/CD
Jira Service Management
Faros.ai
Scripting
API automations
Troubleshooting

Location

Hybrid

Work Type

Hybrid

Experience Level

Enterprise-scale engineering ecosystem experience
Advanced Jira and Confluence Administration experience

Education Level

Bachelor’s degree in Computer Science, Information Technology, Business Technology, or a related field; or equivalent practical experience.

Salary/Compensations

$108,000—$149,000 CAD

Benefits

Equity (where applicable)
Bonus
Health insurance
Dental insurance
Vision insurance
RRSP with a match
Healthcare spending
Telemedicine
Paid leave (including PTO and parental leave)

About the Company

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. We're all in on this mission. If you are too, let's talk.
Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Equal Opportunity

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.