Note: The job is a remote job and is open to candidates in USA. Johnson & Johnson is a healthcare innovation company focused on Innovative Medicine and MedTech solutions that improve health outcomes. The Technical Product Manager will lead engineering teams responsible for PLM data standards, ETL, data migrations, integrations, and data quality across MedTech R&D systems. The role also drives technical delivery, operational excellence, cross-functional collaboration, and digital transformation.
Responsibilities
- Establish and maintain data standards, metadata, and master data models to ensure consistency, traceability, and compliance
- Lead the Extract, Transform, and Load (ETL) development by leveraging comprehensive knowledge of data engineering processes and technologies
- Own PLM data transformations across upstream/downstream systems (e.g., ERP/MES/QMS/DWH), including source-to-target mapping, business rule implementation, normalization/standardization, validation and reconciliation controls, performance tuning, and monitoring/alerting to ensure end-to-end data quality and integrity
- Execute the data migration ETL and planned rehearsals to support the MT PLM deployment roadmap effectively
- Lead the Extract, Transform, and Load (ETL) development by leveraging comprehensive knowledge of data engineering processes and technologies
- Own PLM data transformations across upstream/downstream systems (e.g., ERP/MES/QMS/DWH), including source-to-target mapping, business rule implementation, normalization/standardization, validation and reconciliation controls, performance tuning, and monitoring/alerting to ensure end-to-end data quality and integrity
- Execute the data migration ETL and planned rehearsals to support the MT PLM deployment roadmap effectively
- Establish and maintain integration standards to ensure consistency, standardization and simplification
- Lead the design and implementation of integration architectures across PLM, QMS, ERP, Regulatory, and other core systems
- Drive adoption of modern integration patterns (APIs, events, middleware, data pipelines) to enable real-time and scalable data exchange
- Ensure interoperability of systems to support end-to-end product lifecycle processes and regulatory traceability
- Execute with operational excellence
- Ensure the code developed by squads is of high quality, well-documented, and adheres to Johnson & Johnson standards. Mentor and coach team members on best practices and principles, including through code reviews
- Oversee the quality of technical deliverables from external vendors as necessary
- Manage the deployment of the codebase from development to QA to Production, driving end-to-end testing to ensure solution quality
- Enhance operational efficiency by introducing automation tools and scripts to the data migration processes
- Support the Technical Product Owner and Product Analyst in defining user stories and acceptance criteria
- Provide input on resource allocation to address critical bottlenecks and assist in onboarding new squad engineers
- Strong Collaboration and establishing strong partnerships
- Collaborate with business PLM subject matter experts and Windchill Solution Architects to understand the data & integration needs and enable business processes
- Strong collaboration with the architecture chapter to ensure adherence to standards, and provide input based on business needs in the space of PLM
- Work with other Lead Engineers/squads to manage risks, and to solve, escalate, and track cross-squad dependencies and impediments
- Guide squad engineers in building and maintaining software, assisting them in resolving technical challenges and implementing solutions for meeting data & integration needs
- Develop capabilities in integration engineering, data architecture, and lifecycle data management in strong partnership with some of the cross functional teams being architecture, Supply Chain, Quality, Global MedTech Data office
- Integrate Johnson & Johnson’s Credo and Leadership Imperatives into team goals
Skills
- Minimum of 5-7 years of relevant experience in software development, data engineering, or a related technical domain
- Demonstrable experience leading teams of employees and/or contractors, including goal setting and career development
- Demonstrable experience leading multiple global efforts with time & cost related constraints in a fast-paced regulated environment
- Proven experience leading technical teams and managing projects
- Integration technologies (APIs, middleware, event-driven architectures)
- Proficiency in ETL processes and tools (e.g., Alteryx, Informatica)
- Solid understanding of data modeling, data engineering concepts, and data migration strategies
- Familiarity with database technologies (e.g., SQL OracleOracle, NoSQL etc) for structured and unstructured data
- Familiarity with programming languages such as Python, Java, or SQL
- Experience with software version control systems and CI/CD tools (e.g., BitBucket)
- Knowledge of software development best practices, design patterns, and architecture principles
- Skills in data profiling, data cleansing, and implementing data quality metrics and monitoring systems
- Knowledge of PLM applications – especially proficiency in PTC Windchill
- Awareness of regulatory requirements associated with GxP data handling and the implications for data integrity, audit trails, and documentation
- Understanding of Agile principles and practices, particularly within the SAFe (Scaled Agile Framework) context
- Ability to work collaboratively in cross-functional teams, participate in sprint planning, backlog refinement, and retrospectives
- Ability to manage multiple projects simultaneously and prioritize tasks effectively
- Strong leadership skills with the ability to mentor and coach team members
- Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders
- Experience in collaborating with cross-functional teams and managing external vendor relationships
- Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues
- Ability to identify process improvements and implement automation solutions
- Demonstrates AI Fluency—the ability to use and evaluate AI technologies responsibly (with a primary focus on generative AI in the workplace)—to improve productivity and decision quality while maintaining human accountability, managing risk, and complying with applicable governance, privacy, security, and policy requirements
- Data Integration, Product Lifecycle Management (PLM)
- A Bachelor's degree or equivalent experience, preferably in Information Technology, Computer Science, Business, Engineering or related field highly preferred
Benefits
- Fully Remote work arrangement
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability insurance
- Long-term disability insurance
- Business accident insurance
- Group legal insurance
- Company consolidated retirement plan (pension)
- Savings plan (401(k))
- Vacation – 120 hours per calendar year
- Sick time – 40 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
- Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
Company Overview
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