Assoc. Dir., Transcend R&d Data Mgmt.

Johnson & Johnson Johnson & Johnson · Pharma · Malvern, Pennsylvania, United States of America, Horsham, Pennsylvania, United States of America

Associate Director for a global business transformation program modernizing supply chain processes and standardizing them into a single ERP platform (SAP S4 Hana). The role owns the end-to-end data strategy and delivery outcomes for master and transactional data domains, ensuring compliant, reliable, and scalable data foundations for R&D and Clinical Supply Chain processes. Responsibilities include setting strategy, defining scope, leading data governance, directing data migration and cutover, partnering with architecture, and embedding compliance for regulated data.

What you'd actually do

  1. Set and execute the Transcend R&D Data strategy, roadmap, and data deliverables aligned to Transcend release milestones and Program Increment cadence (design, build, test, cutover, and hyper care).
  2. Define data domain scope, standards, and ownership model (RACI); chair data decision forums and manage escalations across the program.
  3. Lead data governance and stewardship operating model, including policies, procedures, controls, and lifecycle management .
  4. Direct data migration and cutover execution, including profiling, cleansing, mapping, reconciliation, and formal sign-off, in close partnership with the program data management team and technology partners
  5. Partner with architecture and integration teams to ensure end-to-end data flows support business processes and downstream reporting and analytics.

Skills

Required

  • 10+ years of experience leading data governance, master data management, and/or data quality initiatives in complex global organizations.
  • Proven experience delivering large-scale SAP and data transformations, including data migration and cutover.
  • Strong knowledge of data integrity principles, internal controls, and validation/quality expectations for computerized systems.
  • Demonstrated ability to lead cross-functional teams

Nice to have

  • advanced degree preferred in Business or Information Systems, Engineering, Life Sciences, or a related discipline.

What the JD emphasized

  • regulated data
  • data migration
  • data governance
  • master data management