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 Job FunctionData Analytics & Computational SciencesJob Sub FunctionData ScienceJob CategoryPeople LeaderAll Job Posting Locations:Limerick, IrelandJob DescriptionOrthopedics Supply Chain is recruiting for aData Engineering Senior Managerlocated in Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL, Cork, IE, or Zuchwil, CH. Remote work options may be considered on a case-by-case basis and if approved by the Company.Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):Switzerland - Requisition Number: R-041187United States - Requisition Number: R-038198Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.What's in it for you?As Sr. Manager, Data Engineering &Digital Development you'll define and execute a technical vision, architect scalable cloud applications, and drive innovation to deliver digital applications that ensure seamless delivery of Orthopaedics products to our patients —Keeping People Moving If you're passionate about leading an organization with a remit to deploy transformative solutions — from data pipelines to Agentic AI — this is your chance to make a real impact in a dynamic, forward-thinking organization that is shaping the future of healthcareYou will report to the Senior Director of Strategy, Innovation, and Deployment.Key ResponsibilitiesDefine and drive the technical vision, strategy, and roadmaps for the data engineering team through close collaboration with business partners, the product team, data scientists, IT, and other stakeholdersDesign and architect scalable, performant, compliant, secure and cost-effective cloud applications and data pipelines for solutions ranging from descriptive dashboards to AI models and workflows - integrating DevOps principles and CI/CD practices and following SDLC development standards. This includes oversight of test strategy and test plans.Conduct strategic build vs. buy analysis - lead detailed financial, operational, and technical analysis to evaluate in-house vs. external development. Ability to assess strategic implications of these sourcing decisions considering factors such as cost, quality, speed-to-market, and long-term business goals.Lead the team of front-end and back-end developers – fostering professional development and growth within the organization while driving an environment of accountability and collaboration. This includes leading the recruitment and resource management of headcount to support project execution.Manage team performance through developing and monitoring key performance indicators across pipeline performance, data quality and reliability, cost optimization, time to market, and digital product adoption and performance.Develop frameworks for monitoring, troubleshooting and optimizing data pipelines to drive reliability, performance, and cost effectiveness.Manage project timelines, budgets, and resource allocation according to a defined capacity modelStay current with emerging software development and data engineering best practices, driving innovation and incorporating new techniques into the organization's data engineering strategyQualificationsEducation:A Bachelor's, Master's Degree, or PhD in Computer Science, Engineering, Applied Mathematics or a related fieldExperience And SkillsRequired:Minimum 8 years of progressive experience in data engineering, software development, software quality, and/or cloud architecture with a demonstrated track record of production grade enterprise-scale application developmentExpert-level proficiency in Python, SQL with hands-on knowledge of modern data engineering tools and DevOps practices such as CI/CD, Error Handling, Automated Testing, Git version control systemsExperience working in with Agile SCRUM methodologies and supporting tools like Jira and ConfluenceFoundational understanding of AI concepts – Agentic AI, Gen AI, Deep learning, traditional predictive machine learningStrong communication skills and the ability to tailor communication to the audience, including the ability to translate complex technical concepts to business stakeholders and drive alignment in a matrixed environmentKnowledge of enterprise systems of records such as ERP, MES, and PLM and familiarity working with fragmented, legacy dataExperience in implementing E2E data pipelines, cloud applications, and business intelligence and visualization tools.Advanced experience with DevOps and Infrastructure as Code practicesAdvanced experience with business intelligence visualizations such as Tableau & PowerBi, and basic understanding of basic custom front end application development practices and UX/UI Design principlesFamiliarity with coding languages such as SQL, Python, PySparkData preparation methods for AI models- feature engineering for traditional machine learning and large-scale data preparation for training LLMsExperience with data management architectures such as Medallion, Lakehouse, Data Fabric; enterprise semantic and metadata management concepts such as knowledge graphs, ontology, and data lineage; and Vector databases such as Qdrant and Postgres VectorPreferredFamiliarity with traditional AI/ML models - predictive, forecasting (time series), clustering in traditional AI/ML libraries - Pytorch, Tensorflow, Keras, or SciKit LearnFamiliarity with AI Agent/Workflow frameworks such as LangchainStrong ability to translate complex AI concepts to business stakeholders and drive alignment in a matrix environmentStrong experience with custom front end and web application development and UX/UI design principlesFamiliarity with E2E supply chain domains such as Planning, Manufacturing, Procurement, and Distribution within a MedTech or similar industryOtherThis position requires up to 20% travel-Domestic or international#JNJData Science