US - Program Manager - Boundary Systems (AI PMO)
About The Position
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. This role involves creating and maintaining an inventory of boundary systems, interfaces, owners, business processes, data objects, and implementation-wave impacts. The Program Manager will coordinate impact assessments, manage delivery plans for application changes, track integration milestones, and facilitate cross-team dependency reviews. A key aspect of the role is identifying hidden downstream impacts and maintaining RAID items, decisions, and escalation paths. Leadership reporting on high-risk systems and readiness is also a core responsibility, along with supporting post-go-live activities. The role also emphasizes AI-Enabled Delivery Responsibilities, including using AI to extract information from various documents, applying AI-assisted dependency analysis, generating draft assessments and reports, and helping to build a reusable AI-enabled knowledge base. Common AI-First Expectations include using enterprise AI tools to accelerate delivery, automate tasks like meeting summaries and status reporting, identify delivery risks, and continuously seek opportunities for AI-driven simplification and automation. Validation of AI-generated outputs and collaboration with AI teams to scale AI-enabled practices are also crucial.
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.
Nice To Haves
- 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.
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 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
