Sr. Manager, Data Engineering & Digital Development

Orthopedics Supply Chain is recruiting for a Data Engineering Senior Manager located 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-041190

Ireland - Requisition Number: R-041187

Remember, 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 healthcare! 

You will report to the Senior Director of Strategy, Innovation, and Deployment. 

Key Responsibilities: 

• Define 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 stakeholders 

• Design 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 model 

• Stay current with emerging software development and data engineering best practices, driving innovation and incorporating new techniques into the organization's data engineering strategy 

Qualifications 

Education: 

A Bachelor’s, Master's Degree, or PhD in Computer Science, Engineering, Applied Mathematics or a related field 

Experience and Skills: 

Required:  

• 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 development 

• Expert-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 systems 

• Experience working in with Agile SCRUM methodologies and supporting tools like Jira and Confluence 

• Foundational understanding of AI concepts – Agentic AI, Gen AI, Deep learning, traditional predictive machine learning 

• Strong 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 environment 

• Knowledge of enterprise systems of records such as ERP, MES, and PLM and familiarity working with fragmented, legacy data 

• Experience in implementing E2E data pipelines, cloud applications, and business intelligence and visualization tools. 

• Advanced experience with DevOps and Infrastructure as Code practices  

• Advanced experience with business intelligence visualizations such as Tableau & PowerBi, and basic understanding of basic custom front end application development practices and UX/UI Design principles 

• Familiarity with coding languages such as SQL, Python, PySpark 

• Data preparation methods for AI models- feature engineering for traditional machine learning and large-scale data preparation for training LLMs 

• Experience 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 Vector 

Preferred: 

• Familiarity with traditional AI/ML models - predictive, forecasting (time series), clustering in traditional AI/ML libraries - Pytorch, Tensorflow, Keras, or SciKit Learn 

• Familiarity with AI Agent/Workflow frameworks such as Langchain  

• Strong ability to translate complex AI concepts to business stakeholders and drive alignment in a matrix environment 

• Strong experience with custom front end and web application development and UX/UI design principles 

• Familiarity with E2E supply chain domains such as Planning , Manufacturing, Procurement, and Distribution within a MedTech or similar industry 

Other: 

• This position requires up to 20% travel-Domestic or international  

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.  

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource. 

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