Senior IT Manager, Data Engineering

Johnson & Johnson

  • Limerick
  • Permanent
  • Full-time
  • 1 day ago
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 MedTech, 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. Learn more at https://www.jnj.comJob Function: Data Analytics & Computational SciencesJob Sub Function: Data EngineeringJob Category: People LeaderAll Job Posting Locations: Limerick, IrelandJob Description:Senior Manager, Data EngineeringPosition OverviewWe are seeking a dynamic and visionary Senior Manager of Data Engineering to join our regional Data Engineering Chapter leadership team. This strategic role will lead the architecture, design, and implementation of scalable, efficient, and secure data solutions that power our most critical business initiatives—from foundational data management and analytics to innovative decision science and GenAI enablement, primarily focused on the Supply Chain Innovative Medicine portfolio.As a key partner to both Regional and Global Data Engineering Service Owners and Business partners, you will drive operational excellence across data engineering services, ensure alignment with enterprise-wide technology strategies, and cultivate a high-performing, innovation-led team culture. This role demands a rare blend of technical depth, strategic foresight, and servant leadership, further developing Service Industrialization.Key ResponsibilitiesLeadership & Strategy
  • Drive the strategic direction and delivery of core data engineering services across the regional platform.
  • Collaborate with Business Technology and functional partners to shape future demand and define investment priorities.
  • Lead multi-functional planning and delivery using modern, stable team constructs to enhance resource utilization and team performance.
  • Foster a culture of accountability, innovation, and continuous improvement within the data engineering team.
  • Represent the organization at industry events to showcase thought leadership and keep abreast of emerging technologies and trends.
Architecture & Infrastructure
  • Define and implement the technical architecture for enterprise-grade data platforms (SC IM STRATA, OWL, GoldenBatch), aligned with strategic business outcomes and data governance standard methodologies.
  • Ensure the design and development of robust, scalable data pipelines, data warehousing, and business intelligence solutions.
  • Champion a “quality-first” approach, incorporating practices like test automation development, automated testing, and zero-defect delivery.
  • Responsible for infrastructure decisions to ensure performance, security, and cost-efficiency.
People & Performance Management
  • Lead, mentor, and grow a high-performing team of data engineers through effective goal setting, performance management, and career development planning.
  • Create an environment of continuous learning, emphasizing technical depth, compliance, and collaboration.
  • Conduct talent reviews and succession planning to ensure long-term capability development.
Operational Delivery
  • Deliver complex, critical data applications and services using best-in-class software and data engineering practices.
  • Ensure that service delivery performance meets or exceeds SLAs and key business metrics.
  • Address critical issues and remove blockers across all data engineering domains.
  • Drive service and cost optimization initiatives across the regional portfolio.
Supplier & Vendor Management
  • Build strong relationships with external data engineering service providers.
  • Support vendor evaluations, contract negotiations, and performance management.
  • Ensure suppliers deliver consistent value and align with internal quality and compliance standards.
Qualifications & Experience
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
  • 10+ years of experience in data engineering or similar domains, including 5+ years in a leadership capacity.
  • Deep technical expertise in data architecture, cloud-based platforms (AWS, Azure, or GCP), and modern tooling (Snowflake, Databricks, dbt, and Airflow).
  • Proven track record of leading enterprise data initiatives, with a strong understanding of ETL/ELT, data modelling, and data warehousing.
  • Exceptional leadership and influencing skills, with the ability to get results across diverse, global, and multi-functional teams.
  • Demonstrated experience in vendor/supplier management and contract performance oversight.
  • Strong communication, facilitation, and decision-making skills, with a strategic mentality and execution focus
Benefits:We offer a competitive salary and extensive benefits package. The health and well-being of our employees is a priority, we have a flexible working environment as we value work-life balance. We offer career development opportunities for those who want to grow and be part of our organization.Johnson & Johnson Family of Companies are equal opportunity employers, and all qualified applicants will be considered for employment without regard to any other characteristic protected by law.We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Johnson & Johnson