Senior Product Owner – Atlassian Platform & Automation (SDLCNext)

ASRC Federal•Arlington, VA

13d

About The Position

Vistronix, a wholly-owned subsidiary of ASRC Federal, proudly supports the Defense Health Agency and has a career position for a Senior Product Owner – Atlassian Platform & Automation. This role is responsible for product strategy, backlog prioritization, and delivery of “SDLCNext”, an enterprise Atlassian platform supporting SDLC and ITSM across the DHMS portfolio (Defense Health Military Systems). This role combines strong product ownership with deep Jira expertise and AI-driven automation capability. The individual will define priorities, make tradeoff decisions, and deliver platform enhancements while also driving automation of workflows and reduction of manual Process & Tools team effort, particularly across ITSM operations. Operating in alignment with the Government Product Manager, this role is accountable for evolving the platform into a scalable, automation-first system of record, improving efficiency, data quality, and delivery performance. The ideal candidate is a product owner with strong technical depth, not a pure Jira administrator. They bring proven experience owning product backlogs, managing and directing teams, and delivering outcomes, combined with hands-on expertise in Jira configuration and automation. They are naturally inclined to identify inefficiencies and eliminate manual work, using AI and automation to improve ITSM and SDLC workflows.

Requirements

5+ years of experience in product ownership, product management, or platform delivery roles with clear ownership of backlog, prioritization, and delivery outcomes.
U.S. Citizenship with ability to obtain and maintain a CAC
Deep hands-on expertise with Jira and Atlassian tools (Jira, JSM, Confluence), including workflows, automation rules, data models, JQL, dashboards, and configuration at scale.
Proven experience designing and implementing automation solutions within Jira or similar platforms to reduce manual effort and improve operational efficiency.
Demonstrated experience applying AI or Generative AI tools to automate workflows, improve platform operations, or enhance delivery outcomes.
Strong understanding of ITSM processes, including incident, service request, and change management.
Experience balancing day-to-day operational support (e.g., ITSM) with delivery of new features, enhancements, or automation initiatives.
Demonstrated experience managing and directing teams in a delivery and/or operational environment.
Proven ability to define priorities, manage competing demands, and make tradeoff decisions in complex stakeholder environments.
Strong stakeholder management and communication skills, with ability to engage both technical and non-technical audiences.
Experience tracking and using performance metrics (e.g., throughput, SLA adherence, backlog health) to drive decisions and improvements.
U.S. Citizenship with ability to obtain and maintain a CAC

Responsibilities

Lead execution of "SDLCNext" delivery, translating stakeholder needs into prioritized backlog, user stories, and release-ready capabilities across the full lifecycle (requirements, development, testing, deployment, sustainment)
Own backlog management and Agile execution, including prioritization of ITSM tickets, enhancement requests, and technical debt, along with backlog refinement, sprint planning, and release coordination.
AI & Automation Engineering, acting as an architect behind systems that think, learn, and act — designing and deploying AI-driven workflows unlock new growth opportunities for our clients.
Plan and execute platform enhancements and roadmap delivery, including capability block releases and critical implementations aligned to DHMS priorities
Identify and mitigate risks impacting delivery, platform performance, or stakeholder alignment
Oversee ITSM operations and platform sustainment, including management of incidents, service requests, change activities, and requirements/test workflows
Ensure ticket throughput, SLA adherence, and platform stability across day-to-day operations
Identify opportunities to automate ITSM workflows, including incident routing, service request handling, and change management processes
Drive implementation of automation solutions within Jira and related tools to reduce manual effort and improve operational efficiency
Oversee Atlassian platform governance and optimization, including Jira, Confluence, and JSM configuration, performance tuning, and alignment with enterprise standards
Design and optimize workflows, data structures, and configurations to support SDLC and ITSM processes
Drive adoption of automation capabilities within Jira (e.g., automation rules, integrations, plugins) to improve consistency and scalability
Support migration to Atlassian Cloud to preserve platform continuity through Jira Data Center EOL
Automate and redesign SDLCNext workflows to improve end-user experience and streamline execution across programs and services
Transform Process & Tools (P&T) operations by reducing manual work through Jira automation, integrations, and AI-enabled solutions
Identify and implement AI-driven opportunities to improve workflow efficiency, data quality, and decision-making across SDLC and ITSM processes
Drive continuous improvement in how SDLCNext and supporting teams operate, including interfaces with external partners, through automation and scalable system design
Track and report on platform and delivery performance metrics (e.g., ticket throughput, SLA adherence, backlog health)
Use metrics and operational insights to drive prioritization, performance improvements, and corrective actions
Lead and manage a team of personnel supporting ITSM operations and platform enhancements, providing daily direction and performance oversight
Manage team capacity, workload distribution, and resource allocation across operations and enhancement efforts
Serve as primary advisor to Government Product Manager and stakeholders, aligning priorities across DHMS programs
Maintain regular communication with stakeholders, providing updates on platform performance, enhancement progress, and service impacts.