Manager, ERP Engineering (EDI)

Levi Strauss & Co.
•Remote

About The Position

The Manager, ERP Engineering (BTP Integration Suite) leads the design, build, deployment, and reliable operation of integrations connecting SAP S/4HANA with internal applications, external partners, and cloud platforms. The role is within ERP Engineering, Integration & Platform and partners closely with SAP functional, development, infrastructure, and support teams. The manager will modernize the integration landscape using SAP BTP Integration Suite, API-led connectivity, event-driven architecture, B2B/EDI, intelligent automation, and practical AI adoption, while strengthening security, observability, release governance, and production reliability across PTP, OTC, DTC, and FICO processes. The role leads ERP integration engineering and owns the end-to-end integration lifecycle, from architecture and interface specifications through development, deployment, monitoring, incident prevention, root-cause analysis, recovery, and continuous improvement. It builds reusable integration capabilities across APIs, iFlows, events, B2B/EDI, IDoc, OData, SOAP, REST, MFT, and hybrid landscapes, with attention to connectivity, auditability, reconciliation, and security controls. The manager guides and mentors integration teams, coordinates onsite and offshore delivery, prioritizes releases and production support, and aligns business, application, infrastructure, and vendor stakeholders. The position also advances practical AI-enabled integration engineering and drives measurable improvements in reliability, delivery quality, operational visibility, and controlled execution for business-critical data flows. The position is remote in the USA and full time. It is expected to be filled by 01/17/2027.

Requirements

  • 10–14+ years of SAP Integration experience, including SAP PI/PO, SAP BTP Integration Suite, and enterprise integration delivery.
  • Strong expertise in SAP Integration Suite, MuleSoft, API Management, IBM MFT, IBM MQ, Event Mesh, and B2B/EDI integrations.
  • Hands-on experience with REST, SOAP, OData, IDoc, EDI, SFTP, AS2, APIs, message mapping, and integration troubleshooting.
  • Experience leading integration teams and managing releases, production support, incident management, root-cause analysis, and continuous improvement initiatives.
  • Strong understanding of SAP business processes, including FICO, OTC, PTP, sales, billing, master data, and financial integrations.
  • Experience with cloud and hybrid integration architectures, API gateways, observability, security, and integration governance.
  • Hands-on experience with Generative AI, AI Agents, RAG, LLMs, prompt engineering, and enterprise AI integrations.
  • Strong leadership, stakeholder management, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Nice To Haves

  • S/4HANA experience.
  • Fashion or retail experience.

Responsibilities

  • Lead ERP integration engineering across SAP S/4HANA and connected systems, translating business-process needs into secure, scalable, and supportable solutions using SAP BTP Integration Suite.
  • Own the end-to-end integration lifecycle, including architecture, interface specifications, development standards, deployment, monitoring, incident prevention, root-cause analysis, recovery, and continuous improvement.
  • Build reusable integration capabilities across APIs, iFlows, events, B2B/EDI, IDoc, OData, SOAP, REST, MFT, and hybrid landscapes while maintaining connectivity, auditability, reconciliation, and security controls.
  • Guide and mentor integration teams; coordinate onsite and offshore delivery; prioritize releases and production support; and align business, application, infrastructure, and vendor stakeholders.
  • Advance AI-enabled integration engineering by identifying practical opportunities for generative AI, intelligent automation, AI agents, anomaly detection, accelerated development, and improved incident response.
  • Drive measurable improvements in reliability, delivery quality, operational visibility, and controlled execution for business-critical data flows.
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