Release Data Lead

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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Strategy & Corporate Development

Digital Strategy & Deployment

Professional

Beerse, Antwerp, Belgium, Latina, Italy, Leiden, South Holland, Netherlands, Ringaskiddy, Cork, Ireland, Schaffhausen, Switzerland, Zug, Switzerland

Introduction At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.

IM Transcend is a multi-year global business transformation initiative that will modernize our end-to-end Supply Chain digital capabilities by harmonizing our disparate ecosystem of 7+ major global ERP systems, standardizing our core business processes and products across Plan, Source, Make, Deliver, Quality, and Data, and enabling our integrated data strategy through a single SAP S/4 HANA instance.

The Manager, Release Data Lead is a key execution role within the global SAP S/4

HANA transformation program, responsible for coordinating and delivering all data and workflow deployment activities for a specific release wave. This role ensures that all master data objects—including Material, Customer, Vendor, Business Partner, Finance, Supply Chain, and Quality data—are properly prepared, validated, migrated, and governed in alignment with global standards, regulatory expectations, and business readiness.

Working under the leadership of the Senior Manager, Release Data & Analytics Deploy Lead, the Release Data Lead orchestrates cross-functional teams across Data Migration, MDG, Functional Process teams, Quality & Compliance, and Regional Deployment teams to drive end-to-end data readiness for their release.

This role is deeply involved in data mapping, cleansing coordination, migration cycles, workflow validation, issue resolution, testing support, cutover execution, and hypercare stabilization. It requires solid SAP data experience, strong delivery discipline, and excellent collaboration skills across business and IT stakeholders in a global, regulated environment.

• Coordinate all data-related deployment activities for the assigned release, from readiness to go-live.
• Execute release deployment plans covering mapping, cleansing, migration, reconciliation, and workflow readiness.
• Monitor and track progress across all data domains, identifying gaps and driving remediation.
• Partner with Data Migration teams to validate mapping rules, transformation logic, and load requirements.
• Review Field Mapping Documents (FMDs), load templates, and data quality outputs.
• Support mock loads, data validation cycles, and pre‑/post-load reconciliation.
• Ensure data migration defects are triaged, resolved, and retested.
• Validate MDG configuration, workflows, data models, and approval routing for the release.
• Ensure MDG readiness for go‑live, including workflow activation and transport sequencing.
• Support workflow testing, error resolution, and cross‑functional alignment of governance rules.
• Coordinate test data preparation, availability, and validation for SIT, BST, UAT, PQ, and performance testing.
• Ensure master data supports end‑to‑end scenarios across supply chain, manufacturing, procurement, finance, and quality domains.
• Support issue resolution, retesting, and traceability documentation.
• Execute data quality checks and validation rules aligned with GxP, SOX, GDP, GDPR, and audit requirements.
• Support compliance reviews and ensure evidence is captured for controlled environments.
• Identify data quality issues and work with data stewards to implement…