Senior SAP MDG & S/4HANA Data Architect

Akaasa Technologies; West Palm Beach (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Akaasa Technologies seeks an Architect Master Data Management to lead SAP data architecture on onsite engagement in West Palm Beach, FL. You will define and implement enterprise data models for critical domains, establish standards, and drive data governance across Finance, Supply Chain, and Operations.

The role emphasizes large-scale data migrations, MDG workflow optimization, and AI-driven cleansing to ensure a clean core during SAP rollouts or M&A projects.

Qualifications

• 8-10 years of SAP data architecture experience.
• Deep technical proficiency in SAP S/4HANA, MDG, and SAC.
• Experience defining enterprise data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS).
• Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a 'Clean Core'.
• Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions.
• Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules.
• Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models.

Skills

SAP data architecture

SAP S/4HANA

MDG

SAC

Data modeling

Data governance

Data migration

Stakeholder collaboration

AI-driven cleansing

Education

Bachelor's degree (CS/IS/Engineering)

Master's degree preferred

Tools

MDG workflows

Automation tooling

Job description

Akaasa Technologies seeks an Architect Master Data Management to lead SAP data architecture on onsite engagement in West Palm Beach, FL. You will define and implement enterprise data models for critical domains, establish standards, and drive data governance across Finance, Supply Chain, and Operations.

The role emphasizes large-scale data migrations, MDG workflow optimization, and AI-driven cleansing to ensure a clean core during SAP rollouts or M&A projects.