AI-Driven Boundary Systems Program Manager

AuxoAI Engineering

Irvine (CA)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

AuxoAI Engineering in Irvine, CA is seeking a US - Program Manager for Boundary Systems (AI PMO) to lead delivery across boundary systems and data interfaces. You will own inventory, assess impacts, manage delivery plans, and track milestones from design through production validation.

You will apply AI-enabled analyses to identify risks, dependencies, and readiness, collaborating with cross-functional teams including data, integration, security, and vendors to accelerate value realization for

Qualifications

4-6 years in project management, application delivery, or enterprise transformation.
Experience with APIs, batch interfaces, file transfers, and middleware.
Experience managing cross-team plans, RAID items, and readiness reporting.
Strong analytical, documentation, and stakeholder-management skills.
Comfort using AI tools to analyze complex information.

Responsibilities

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.
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.
Use enterprise AI tools 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.