SAP Data Migration Lead — S/4HANA & Data Quality (Remote)

DXC Technology Company

United States

Remote

USD 140,000 - 190,000

Full time

9 days ago

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

DXC Technology is seeking a senior SAP data migration lead to drive end-to-end data workstreams, validate master and transactional data, and oversee conversion readiness for a Brownfield ECC to SAP S/4HANA transformation.

The role requires 8+ years in data management and 5+ years in SAP migrations, with strong cross-functional leadership and risk management skills. Remote work options within the United States are available.

Qualifications

Bachelor’s degree in Information Systems, Computer Science, Business, Engineering, or related field.
8+ years of enterprise data management, migration, validation, or governance experience.
5+ years of SAP implementation or transformation experience.
Experience leading SAP ECC to SAP S/4HANA Brownfield migration programs.
Strong experience validating SAP master data and transactional data.
Knowledge of data migration, reconciliation, data quality, governance, and cutover methodologies.
Experience leading cross-functional teams in complex enterprise environments.
Strong communication, facilitation, risk management, and stakeholder-management skills.

Responsibilities

Lead end-to-end SAP data workstream and define the data strategy, roadmap, milestones, and delivery plan.
Direct Brownfield ECC to SAP S/4HANA migration and data readiness activities.
Establish validation frameworks for master data, transactional data, open items, balances, and historical data.
Oversee source extraction, data profiling, cleansing, transformation, reconciliation, and post-conversion validation.
Validate master data such as Business Partners, materials, G/L accounts, cost centers, profit centers, assets, vendors, and customers.
Validate transactional data such as open purchase orders, sales orders, inventory, financial balances, open items, and asset values.
Coordinate mock conversions, dress rehearsals, cutover planning, production migration, and post-go-live reconciliation.
Define data quality standards, controls, ownership, stewardship, and issue-remediation processes.
Manage data risks, dependencies, defects, decisions, and readiness milestones.
Facilitate workshops with business process owners, functional leads, architects, developers, and data owners.
Provide executive-level status reporting on data quality, validation results, conversion readiness, and key risks.
Develop procedures, documentation, training materials, and knowledge-transfer plans for data governance and validation.