SAP SLO Lead - Mergers & Data Migration Expert

Accenture; Beaverton (OR); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid holidays and PTO

Job summary

Accenture is seeking an SAP data management specialist with deep expertise in System Landscape Optimization (SLO) tools and methodologies. You will architect and execute complex landscape transformations, guides clients through mergers, carve-outs, and data migrations, using tools like DMLT, SNP Transformation Backbone, and SLT.

You will lead end-to-end data migration planning across SAP ERP, S/4HANA, and related systems, configure SLT for real-time replication, and collaborate with

Qualifications

• 5+ years SAP experience with focus on SLO tools
• 2 full end-to-end SAP landscape transformation or data migration implementations
• 3+ years SAP S/4HANA data migration concepts (LTMC/LTMOM)

Responsibilities

• Design and execute SAP SLO-based landscape transformation programs (mergers, divestitures, carve-outs)
• Lead end-to-end data migration planning across SAP ERP, S/4HANA, and related systems
• Configure and operate SLT for real-time data replication
• Define migration objects, transformation rules, and data mapping with cross-functional teams
• Support cutover planning, rehearsals, and go-live activities
• Advise clients on SLO best practices and migration approaches

Skills

SAP data management

SLO tools

Data migration planning

Stakeholder communication

Education

Bachelor's Degree or equivalent

Tools

DMLT

SNP Transformation Backbone

SLT

Job description

Accenture is seeking an SAP data management specialist with deep expertise in System Landscape Optimization (SLO) tools and methodologies. You will architect and execute complex landscape transformations, guides clients through mergers, carve-outs, and data migrations, using tools like DMLT, SNP Transformation Backbone, and SLT.

You will lead end-to-end data migration planning across SAP ERP, S/4HANA, and related systems, configure SLT for real-time replication, and collaborate with