Lead-data Automation and Excellence

Johnson & Johnson Johnson & Johnson · Pharma · Limerick, Ireland

Lead Data Automation and Excellence role at Johnson & Johnson, responsible for leading a technology squad in the plan, design, build, and operation of AI-ready data assets. This role involves hands-on technical leadership, driving automation of data curation using AI agents, setting engineering standards, and ensuring alignment with enterprise architecture. The role requires deep data engineering expertise, architectural judgment, mentoring capabilities, and modern AI for Data management experience, including prompt engineering, LLMs, and GenAI concepts.

What you'd actually do

  1. Responsible to drive solution architecture for data across ingestion, curation, and consumption layers.
  2. Guide squad members in problem‑solving complex technical challenges and support implementation of sound, scalable solutions.
  3. Shape technology standards and framework to ensure adherence to coding standards, architectural patterns, and data engineering best practices.
  4. Mentor and coach engineers to raise overall technical maturity and delivery quality within the squad.
  5. Lead the technical design of data assets using a medallion architecture (Bronze, Silver, Gold) working with the Technical Product owners within a federated data product squad model.

Skills

Required

  • data engineering
  • technical lead role
  • data pipelines
  • medallion architectures
  • mentoring engineers
  • Kafka
  • event-driven architectures
  • CDC-based ingestion and curation patterns
  • CI/CD pipelines
  • AI and GenAI concepts
  • LLMs
  • prompt engineering
  • ontologies
  • metadata enrichment
  • data profiling
  • data quality
  • data lineage
  • data governance
  • contextualization
  • cataloging

Nice to have

  • Agile Product Development

What the JD emphasized

  • AI-ready data assets
  • AI agents for data management
  • AI and GenAI literacy
  • LLMs
  • prompt engineering

Other signals

  • AI-ready data assets
  • AI agents for data management
  • GenAI literacy
  • LLMs
  • prompt engineering