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. We're all in on this mission. If you are too, let's talk.

Role Overview

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 integrations. In 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 1,000+ person engineering, product, and design organization.

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

Core Responsibilities

1. Platform Ownership & Strategic Tooling Direction

• 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.

2. Engineering Process Optimization & Standardization

• PDLC Alignment: Partner closely with Product Management, Engineering, Quality Assurance, and Security to align to