Data Migration and Master Data Lead, Ford Energy

Overview At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move. Job Type: Full time Work Type: Hybrid In this position... As the Data Migration and Master Data Lead, SAP, you will be accountable for successful data migration and master data readiness across Ford Energy’s SAP landscape. This includes SAP S/4HANA Public Cloud and SAP Private Cloud environments supporting Extended Warehouse Management (EWM) and Yard Logistics (YL). You will lead the planning, governance, validation, and execution of data loads—from defining requirements and coordinating data owners through conversion, reconciliation, and business sign-off. You will establish the processes and controls needed to ensure data is accurate, complete, consistent, and ready to support business operations at launch and beyond. This is a hands-on leadership role for someone who combines SAP experience with exceptional attention to detail and a strong track record governing master data processes. You will work closely with business stakeholders, SAP functional and technical teams, and system integrator or vendor partners to make data migration a disciplined, measurable, and repeatable part of the SAP delivery lifecycle. What you'll do... Key Responsibilities: 1. Data Migration Planning & Execution: Own the end-to-end data migration approach across Ford Energy’s SAP S/4HANA Public Cloud and SAP Private Cloud environments. Lead migration planning: Define data migration scope, objects, sequencing, dependencies, milestones, and readiness criteria across SAP programs and deployments. Coordinate migration cycles: Plan and manage data collection, cleansing, mapping, transformation, mock loads, cutover loads, and post-load validation. Manage data loads: Coordinate master data uploads into SAP S/4HANA Public Cloud and SAP Private Cloud for EWM and YL, working with SAP teams and implementation partners. Maintain migration plans: Track owners, dependencies, open decisions, risks, defects, and readiness across migration activities. Support cutover: Develop and coordinate migration and cutover runbooks, including load timing, validation checkpoints, issue escalation, and contingency planning. 2. Master Data Governance & Quality: Establish the governance, standards, and controls required to maintain trusted master data throughout implementation and ongoing operations. Define governance processes: Establish clear processes for data ownership, creation, maintenance, approval, and change control. Set data standards: Define data definitions, templates, validation rules, naming conventions, and quality expectations for SAP master data. Drive data readiness: Partner with business data owners to assess data quality, resolve gaps, and ensure data is complete and approved before each load. Strengthen controls: Implement checks and approval steps that reduce duplication, inconsistent values, incomplete records, and unauthorized changes. Promote sustainable practices: Help embed master data governance into business processes so data remains reliable after go-live. 3. Validation, Reconciliation & Issue Resolution: Ensure migrated data is accurate and fit for use—not just successfully loaded. Define validation criteria: Establish checks for completeness, accuracy, consistency, and business usability before and after data loads. Reconcile results: Compare source and target data, investigate variances, and document reconciliation outcomes. Manage migration defects: Log, prioritize, assign, and track data issues through resolution, retest, and closure. Secure business sign-off: Coordinate validation with business process owners and obtain documented approval at appropriate migration milestones. Report readiness: Provide clear status, risk, quality, and readiness reporting to SAP program leadership and …

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