West Palm Beach, FL
Workplace Type: Office
Employment Type: Salaried
What you'll doArchitectural Design & Strategy - End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems.
- Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements.
- Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance.
Enterprise Data Governance - Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions.
- System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment.
- Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules.
Quality Assurance & System Health- Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records.
- Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures.
- Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts.
Cross-Pillar Integration - Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems.
- Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models.
What you'll need- 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.
Why grow your career with usYour career here is more than just a job - it's your pathway to opportunity. Our hands-on training, supportive environment, and responsive leadership connect you to work with purpose. Our commitment to you extends beyond professional development to a safety-first culture that ensures you can do what you do best, with peace of mind.
Building stronger solutions together 
