Note: The job is a remote job and is open to candidates in USA. reputed company 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 reputed company 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 reputed company 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 reputed company reputed company 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 reputed company’s reputed company 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., reputed company, Informatica)
• reputed company understanding of data modeling, data engineering concepts, and data mig