Data Migration And Master Data Lead, Ford Energy

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.

Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid. Why Ford Energy? At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands.

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 business stakeholders.

4. Cross-Functional Collaboration:

• Connect business data owners with SAP delivery teams so migration decisions are timely, understood, and actionable.
• Partner with stakeholders: Work with business teams to identify authoritative data sources, assign data owners, and confirm business rules.
• Coordinate across SAP teams: Align migration activities with functional, technical, integration, testing, and cutover workstreams.
• Manage partner delivery: Coordinate data migration activities with system integrators and other vendors; clarify deliverables, dependencies, and acceptance criteria.
• Communicate effectively: Translate data quality and migration risks into clear actions for both technical and nontechnical stakeholders.
• Build organizational capability: Provide guidance and practical support to teams responsible for preparing, reviewing, and maintaining master data.

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 business stakeholders.

4. Cross-Functional Collaboration:

• Connect business data owners with SAP delivery teams so migration decisions are timely, understood, and actionable.
• Partner with stakeholders: Work with business teams to identify authoritative data sources, assign data owners, and confirm business rules.
• Coordinate across SAP teams: Align migration activities with functional, technical, integration, testing, and cutover workstreams.
• Manage partner delivery: Coordinate data migration activities with system integrators and other vendors; clarify deliverables, dependencies, and acceptance criteria.
• Communicate effectively: Translate data quality and migration risks into clear actions for both technical and nontechnical stakeholders.
• Build organizational capability: Provide guidance and practical support to teams responsible for preparing, reviewing, and maintaining master data.