Architect Master Data Management

Akaasa Technologies

Palm Beach Gardens, FL, United States

8 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$135,200.0 - $156,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

SAP Cloud Artificial Intelligence Information Systems Data Architecture Data Governance Data Migration Scrum Methodology SAP (Applications) SAP NetWeaver Data Management Technical Data Management Systems Information Technology Data Analytics

+2 more

SAP S/4HANA Data Management

Job description

Our client, a IT Services and Consulting company, is looking for a Scrum Master - Data & Analytics for their Palm Beach Gardens, FL location. Responsibilities: Facilitate Scrum…

1 day ago

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred).
Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable.
Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus.
Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC).
Proven track record of defining and implementing enterprise-scale 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.