SAP S/4 Migration Data Lead

Overview

In this role you drive data strategy and governance for a SAP S4HANA migration, ensuring clean, accurate data through extraction, cleansing, validation and migration from ECC to S/4. You will coordinate cross‑functional teams across geographies, balancing business needs with technical execution to minimize disruption. You’ll lead data quality, UAT, and readiness activities, shaping data maintenance and migration rules. This position offers strategic impact on a large transformation program within a global delivery setting.

Responsibilities

• Lead business data strategy and governance for the S4HANA migration program
• Bridge business stakeholders and data teams to ensure alignment and clear communication
• Establish data governance processes for decision-making across the project
• Lead data cleansing initiatives and drive remediation of legacy data before migration
• Coordinate data migration strategy workshops and define scope, rules and validation expectations
• Collaborate on data validation and UAT design, execution and business sign-off
• Drive blueprinting and requirements gathering for data maintenance tools and mappings
• Support go-live readiness, training planning and risk escalation
• Oversee training delivery and governance of data change impacts

Key requirements

• Proven experience leading data migration workstreams in large-scale digital projects
• Strong understanding of SAP data structures and integration points
• Experience with data cleansing, data quality management and governance frameworks
• Strong stakeholder management and communication skills across functions and geographies
• Ability to translate business requirements into technical data solutions
• Experience in managing cross-functional and geographically distributed teams
• Strong analytical and problem-solving capabilities
• Agile and resilient leadership under changing priorities

• stakeholder management
• communication
• influence and collaboration
• SAP data structures (RTR, MTD, OTC)
• data cleansing and data quality management
• data governance frameworks

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