Manager Data Engineering

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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Remote (US), Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America Job Description: About Orthopaedics Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that’s reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery. Your unique talents will help patients on their journey to wellness. Learn more at Purpose: Orthopedics Supply Chain is recruiting for a Data Engineering Manager located in Warsaw, IN, Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL. Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical vision that powers digital products across the Orthopaedics Supply Chain. You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive architecture, engineering standards, governance, and execution to deliver trusted, reusable, and business-ready data products. You will also provide technical leadership for business separation activities, ensuring that data architecture, pipelines, and platforms are designed to support future-state organizational needs while maintaining continuity, scalability, and delivery excellence. This position requires strong leadership across architecture design, engineering governance, vendor delivery, and cross-functional collaboration to translate strategy into measurable business outcomes. If you are energized by building modern data capabilities that improve healthcare operations and enable better decisions at scale, this is an opportunity to make a meaningful impact. Key Responsibilities: Lead the Data Foundation initiative to modernize the enterprise data ecosystem through a scalable lakehouse architecture and cloud-based data platform capabilities Define the data engineering strategy, target architecture, and reusable pipeline frameworks needed to deliver governed, high-quality data products Develop the strategy for a Data Supermarket that delivers business-ready data products for use across multiple functions. Translate complex business requirements and technical challenges into scalable architecture decisions and executable delivery plans Provide technical leadership for business separation activities, ensuring alignment to future-state operating models and platform continuity Establish and enforce best practices for: Data modeling (dimensional, Data Vault 2.0) Pipeline design, modularity, and reuse Engineering standards and quality controls Establish and scale data governance, data quality, and observability practices, including monitoring, lineage, reliability, and service-level expectations Define and implement automated testing strategies for data pipelines, including validation, data quality controls, and CI/CD integration Lead development and orchestration using Databricks, Python, SQL, dbt, Airflow, and cloud-native tools Partner with vendors and internal teams to manage delivery, enforce standards, and drive outcome-based execution Collaborate across Product, Supply Chain business, AI/ML, Data Governance, and IT teams to deliver measurable business impact Qualifications Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or in a related field. Experience and Skills: Required: Minimum of 8 years of experience in data engineering, including 2 or more years in leadership or people management roles Strong hands-on technical experience with: Databricks, PySpark, Spark SQL Python and SQL development Cloud platforms (Azure preferred, AWS acceptable) Proven expertise in: Modern data architecture and platform design Dimensional modeling and Data Vault 2.0 Experience with: dbt, Airflow, Azure Data Factory (or equivalent tools) CI/CD pipelines, automation frameworks, and testing practices Required experience designing and implementing automated testing strategies for data engineering pipelines, including: End-to-end pipeline validation Data quality and integrity testing Integration with CI/CD pipelines Experience leading distributed teams and partnering effectively with external vendors and cross-functional stakeholders Preferred: Experience supporting Agile product delivery teams and mentoring engineers in complex, fast-paced technical environments Familiarity with end-to-end supply chain domains such as planning, manufacturing, procurement, and distribution within MedTech or a similar regulated industry Knowledge of enterprise systems of record such as ERP, MES, and PLM, including experience working with fragmented or legacy data environments Experience with: Lakehouse architecture and Delta Lake Data observability and monitoring frameworks Experience collaborating with AI/ML and advanced analytics teams to enable scalable data and model-ready pipelines Knowledge of Power BI or enterprise BI platform Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to: Accelerate pipeline development Automate engineering workflows Exposure to code generation, pipeline automation, or low-code data engineering accelerators Leadership Competencies Strong strategic thinking paired with a track record of execution excellence Ability to lead effectively in an outcome-driven, product-centric operating model Excellent communication, stakeholder management, and influencing skills across technical and business audiences Proven ability to translate complex architectures into executable delivery plans Focus on standardization, scalability, and engineering excellence This position may require up to 20% travel domestic and international 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. 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 internal employees contact AskGS to be directed to your accommodation resource. #LIHybrid #JNJData Engineering #LI-PN2 Required Skills: Preferred Skills: Advanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy The anticipated base pay range for this position is : $102,000.00 - $177,100.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year For additional general information on Company benefits, please go to: -