US Program Manager Boundary Systems (AI PMO)

About AuxoAI

AuxoAI helps enterprises transform how they operate by combining business consulting data engineering and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed insight quality and client outcomes.

What You Will Do

Create and maintain the inventory of boundary systems interfaces owners business processes data objects and implementation-wave impacts.

Coordinate impact assessments for upstream downstream reporting middleware third-party and operational systems connected to Oracle Fusion.

Manage delivery plans for application changes interface modifications technical dependencies testing readiness deployment and stabilization.

Track integration design build unit testing SIT end-to-end testing UAT support cutover and production validation milestones.

Facilitate cross-team dependency reviews across application owners integration teams functional teams data teams security infrastructure and vendors.

Identify hidden downstream impacts caused by changes to data ownership chart of accounts master data file formats APIs schedules or business processes.

Maintain boundary-system RAID items decisions action owners readiness status and escalation paths.

Prepare leadership reporting on high-risk systems critical interfaces unresolved design decisions and testing or cutover readiness.

Support post-go-live monitoring defect triage reconciliation and stabilization across impacted applications.

AI-Enabled Delivery Responsibilities

Use AI to extract systems interfaces data flows decisions and impacts from architecture diagrams design documents meeting notes and interface specifications.

Apply AI-assisted dependency analysis to identify potentially missed downstream systems and cross-interface risks.

Generate draft impact assessments test scenarios readiness summaries and executive heatmaps from structured tracker data.

Help build a reusable AI-enabled boundary-systems knowledge base and impact-management process.

Common AI-First Expectations at AuxoAI

Use enterprise AI tools such as ChatGPT Enterprise Claude Enterprise Gemini or equivalent platforms to accelerate delivery and improve decision-making.

Apply AI to automate meeting summaries action-item tracking status reporting executive communications and document synthesis.

Use AI-assisted analysis to identify delivery risks cross-team dependencies emerging bottlenecks and areas requiring leadership attention.

Continuously identify PMO activities that can be simplified standardized or automated through AI and workflow automation.

Validate AI-generated outputs for accuracy confidentiality traceability and business relevance before they are used in program decisions.

Collaborate with consulting data engineering and AI teams to pilot and scale AI-enabled delivery practices across the program.

Requirements

4-6 years of experience in project management application delivery systems integration or enterprise transformation.

Working knowledge of APIs batch interfaces file transfers middleware application dependencies and end-to-end testing.

Experience managing cross-team plans RAID items dependencies action tracking and readiness reporting.

Strong analytical skills and the ability to understand business and technical impacts across multiple systems.

Excellent facilitation documentation communication and stakeholder-management skills.

Comfort using AI tools to analyze complex information and accelerate impact analysis.

Preferred Qualifications

Oracle Fusion or Oracle Integration Cloud experience.

Exposure to REST/SOAP APIs SFTP middleware MuleSoft Informatica Boomi or similar integration platforms.

Experience with architecture diagrams interface inventories impact assessments SIT UAT or cutover.

Experience with Jira Azure DevOps ServiceNow Smartsheet Power BI or Microsoft Project.

Familiarity with enterprise application landscapes in manufacturing food consumer products or supply chain environments.

What Success Looks Like

Clear delivery visibility

Early risk identification

Responsible AI adoption

Predictable workstream outcomes