Manager, Research & Development Data Office | J&j Medtech

Johnson & Johnson Johnson & Johnson · Pharma · Tallaght, Dublin, Ireland

Manager for R&D Data Office at Johnson & Johnson MedTech, responsible for implementing data governance initiatives, establishing an R&D Data Dictionary, building a Data Quality Management Framework, and managing a Change Management Program. Requires strong leadership, metadata management experience, and ability to translate requirements into delivery plans.

What you'd actually do

  1. Coordinate the development and implementation of the R&D Data Dictionary
  2. Build an R&D Data Quality framework that will allow the monitoring of R&D data quality, providing insights to drive remediation and data accuracy improvements
  3. Oversee an awareness, training and change management initiative that informs, involves and engages the R&D Data Office community
  4. Demonstrate and model J&J Leadership Imperatives (Live Our Credo, Connect, Shape, Grow) through daily actions, cross functional influence, and capability building.

Skills

Required

  • Data governance
  • Data quality management
  • Metadata management
  • Change management
  • Leadership
  • Cross-functional collaboration
  • Communication skills
  • Problem-solving

Nice to have

  • Engineering
  • Life Sciences
  • Research & Development
  • Information Management
  • Regulatory affairs
  • Supply chain
  • Quality

What the JD emphasized

  • Minimum of 6 years of experience in Research & Development, quality, regulatory, or related fields
  • In depth understanding of data governance, data quality and meta data management principles
  • Demonstrated strong leadership, organizational, and planning skills with the ability to work cross-functionally with global teams and a diverse work force and customer base.
  • Excellent communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders, to build and maintain relationships, and to quickly build credibility at all levels in the organization.
  • Highly skilled in establishing partnerships within function, successfully influence senior leaders and able to work collaboratively in a highly matrixed environment.
  • Strong problem-solving skills with the ability to identify and resolve complex data management and analytics issues.