Senior Technology Manager, Materials Data & MIM

Johnson & Johnson Co.

Raynham (MA)

On-site

USD 122,000 - 245,000

Full time

4 days ago
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Job summary

Johnson & Johnson seeks a Senior Technology Manager for Materials Information Management to own the product vision and roadmaps for materials data, databases, and related tooling. You will drive data governance, regulatory traceability, and integration with CAE/PLM systems to accelerate development and ensure compliant data workflows.

You will lead cross-functional teams across R&D, Quality, Regulatory, IT, and engineering, guiding data models, standards, and KPI-driven improvements.

Qualifications

  • 8-10+ years in product management/ownership or tech leadership in materials engineering or R&D

Responsibilities

  • Own product vision, roadmap, and lifecycle for Materials Information Management solutions.
  • Define information models, metadata standards, and data governance for materials data.
  • Translate requirements into prioritized product requirements and acceptance criteria.
  • Lead integration for MIM with CAE/Simulation, PLM, LIMS/ELN, ERP and other systems.
  • Drive adoption of materials informatics, analytics, and AI/ML to accelerate materials decisions.

Skills

Analytical Reasoning
Cross-Functional Collaboration
Leadership
Product Development
Strategic Planning
Project Mgmt Methodology
R&D
Data Governance
AI/ML
Regulatory Compliance
Communication
Team Management

Education

Bachelor’s degree in Materials Science/Engineering or related
Master’s degree preferred

Tools

ANSS Granta
CAE/PLM ecosystems

Job description

Johnson & Johnson seeks a Senior Technology Manager for Materials Information Management to own the product vision and roadmaps for materials data, databases, and related tooling. You will drive data governance, regulatory traceability, and integration with CAE/PLM systems to accelerate development and ensure compliant data workflows.

You will lead cross-functional teams across R&D, Quality, Regulatory, IT, and engineering, guiding data models, standards, and KPI-driven improvements.

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