Manager- Data Engineering

Role Summary

Manager – Data Engineering at Johnson & Johnson’s MedTech Data & AI organization. This role, located in Raritan, New Jersey, may require up to 10% travel. Lead data curation efforts around the foundational data platforms to enable the future of data consumption via analytics and artificial intelligence, and influence the MedTech data strategy.

Responsibilities

• Be responsible for the vision and prioritization of new features and/or enhancements to the CDL MT curation product and translate business needs into prioritized user stories, accountable for value delivery and value realization at the squad level
• Shape and prioritize backlog, translate requirements into user stories and acceptance criteria
• Balance business value with technical feasibility while prioritizing stories and features, optimizing cost and improving delivery efficiency
• Act as the ‚Äúvoice of the customer‚Äù within the squad to ensure the squad ‚Äúbuilds the right thing‚Äù
• Accountable for shaping and hitting squad objectives and key results
• Manage full-time resources, contractors and vendors
• Drive continuous improvement across the product lifecycle
• Facilitate release planning, sprint planning and demos with partners
• Own and facilitate documentation and information
• Collaborate to ensure all partners are clear on product roadmap activities, design, interdependencies and timelines

Qualifications

• Education: Bachelor‚Äôs degree in a technical field or equivalent experience
• Required: Proven product team leadership experience in Information Technology
• Required: Experience in or knowledge of Data Engineering/ETL practices and related languages/technologies
• Required: Strong problem-solving skills with ability to accurately analyze situations and reach productive decisions based on informed judgment
• Required: Knowledge of public cloud platforms: Azure, AWS, and/or GCP
• Required: Experience managing resources
• Required: Ability to collect, understand and convey customer requirements
• Required: Design robust batch, incremental, and change data capture pipelines
• Required: Build, optimize, and troubleshoot data pipelines
• Required: Build consensus across silos, drive co-owned roadmaps and OKRs
• Required: Model domain-driven data products with clean, business-aligned schema
• Required: Translate user needs into actionable backlog, prioritize by business value
• Preferred: Experience working with Azure Databricks
• Preferred: Knowledge of CI/CD software development practices
• Other: Excellent written and oral communication skills
• Other: Up to 10% domestic and international travel

Skills

• Advanced Analytics
• Data Engineering
• Data Modeling
• Data Governance
• Data Privacy Standards
• Data Science
• Developing Others
• Emerging Technologies
• Execution Focus
• Hybrid Clouds
• Inclusive Leadership
• Leadership
• Resource Allocation
• Team Management
• Technical Development
• Technologically Savvy

Education

• Bachelor‚Äôs degree in a technical field or equivalent experience

Additional Requirements

• Excellent written and oral communication skills
• Up to 10% domestic and international travel