Job Overview

Own the target-state Procurement technology architecture and the engineering strategy that connects intake, category management, sourcing, contracts, suppliers, purchasing, enterprise master data and ERP execution. Translate business strategy into a sequenced FY27-FY29 roadmap and secure, production-ready intelligent workflows that deliver measurable productivity, reliability and compliance.

Job Requirements

Key Responsibilities

Enterprise Architecture & Roadmap

• Own Procurement architecture across GEP, SAP, ServiceNow, AI, automation, integrations, supplier collaboration, and master data platforms.
• Define standards, APIs, integration patterns, data models, reusable services, technology roadmaps, and buy-versus-build decisions.
• Lead architecture governance, reviews, and strategic technology decisions.

AI, Automation & Integrations

• Design AI agents, intelligent workflows, and automation solutions for sourcing, procurement, supplier interactions, compliance, and master data processes.
• Select appropriate AI, ML, RPA, workflow, orchestration, and rules-based automation approaches.
• Ensure security, governance, monitoring, reliability, scalability, auditability, and cost optimization.
• Deliver hands-on development, integration, troubleshooting, and automation using Python, APIs, middleware, and enterprise platforms.

Procurement Transformation

• Architect Source-to-Contract, Source-to-Pay, Supplier Management, Requisition-to-PO, Supply Assurance, and Master Data Governance solutions.
• Partner with Procurement, PSC, Operations, and Business Units to simplify and automate processes.
• Ensure compliant integration and orchestration between procurement and ERP platforms.
• Drive measurable improvements in productivity, cycle time, automation, supplier performance, compliance, and business outcomes.

Technical Leadership

• Provide technical direction to engineering teams, automation specialists, product owners, and implementation partners.
• Establish reusable frameworks, standards, documentation, runbooks, and best practices.
• Collaborate with Enterprise Architecture, Cybersecurity, Data, Finance, and AI teams to maintain a cohesive technology roadmap.

Experience & Capabilities

Required

• 10+ years' experience in software engineering, enterprise architecture, integration delivery, or intelligent automation.
• Strong hands-on expertise in Python, APIs, automation engineering, data integration, troubleshooting, and solution design.
• Proven delivery of AI, LLM, agentic AI, workflow, and RPA solutions in production environments.
• Experience integrating SAP or equivalent ERP platforms with procurement technologies.
• Strong understanding of Source-to-Pay and Source-to-Contract processes.
• Ability to define and communicate enterprise architecture strategies, roadmaps, and investment priorities to senior leaders.

Preferred

• Experience with GEP SMART, SAP S/4HANA, SAP MDG, SAP BTP, ServiceNow, MuleSoft, SupplyOn, or similar platforms.
• Knowledge of Azure AI, AWS Bedrock, LangGraph, Semantic Kernel, or equivalent AI orchestration technologies.
• Experience with UiPath, Power Automate, SAP Build Process Automation, Docker, Git, cloud platforms, CI/CD, and modern engineering practices.
• Experience supporting global manufacturing organizations with complex procurement, compliance, risk, and audit requirements.

Desired Candidate Profile:

Success Measures

First 30 Days

• Map the live architecture, risks, integrations, use cases, and technical dependencies.
• Establish a transition plan with the incumbent architect and engineering teams.

By Day 90

• Present an approved target-state architecture and sequenced technology roadmap.
• Independently own the design of critical integrations.
• Deliver or significantly improve one production-ready automation pattern.

By Month 6

• Assume architectural accountability across Procurement AI and automation.
• Complete knowledge transfer, design standards, reusable assets, key operational runbooks, and a prioritized delivery backlog.

Ongoing

• Drive architecture reuse and stability.
• Reduce manual touchpoints.
• Improve PR/PO and sourcing cycle times.
• Increase AI adoption and measurable productivity.
• Maintain security, quality, and engineering health.

Key Relationships

• Procurement Transformation Director
• BOAT / Automation Development Teams
• PSC Operations
• GEP Polaris PMO
• SAP Evolve and MDG Teams
• BU Procurement
• TE Enterprise Architecture, IT Integration, Cybersecurity, and Data Teams
• Central AI Teams
• Implementation Partners

Recruiting Calibration

Prioritize candidates with both architecture ownership and hands-on implementation experience. Deep expertise in every named TE platform is not required. Proven engineering depth, procurement process knowledge, strong architectural judgment, and the ability to quickly learn enterprise systems are essential. Validate candidates through one architecture walkthrough and one practical automation or code review.