Manager, Product Group Engineering, PLM

Position Overview

We are seeking a results-driven Manager, Product Group Engineering, PLM to lead the strategy, architecture, delivery, and lifecycle management of enterprise Product Lifecycle Management capabilities for DePuy Synthes. The ideal candidate brings deep experience with Windchill PLM, regulated product development processes, enterprise integrations, data migration, and agile product delivery. This role will lead cross-functional engineering teams, partner with business and quality stakeholders, and ensure that PLM solutions are scalable, compliant, secure, and aligned with business transformation priorities.

Key Responsibilities

• Lead and mentor cross-functional PLM engineering squads responsible for application development, configuration, integration, testing, migration, and production support.
• Provide technical direction across PLM solution architecture, data models, workflows, access controls, validation, deployment, and operational support.
• Establish engineering standards, design governance, release practices, and CI/CD capabilities for reliable and repeatable PLM delivery.
• Define and execute the PLM technology roadmap, including platform modernization, technical debt reduction, scalability, and lifecycle management.
• Translate product development, engineering, quality, manufacturing, and regulatory needs into prioritized PLM capabilities and platform enablers.
• Partner with software vendors and implementation partners to assess platform capabilities, resolve product gaps, and optimize the PLM ecosystem.
• Define scalable PLM architecture, product data models, document and change-management workflows, and reusable integration patterns.
• Govern integrations between PLM and adjacent enterprise platforms, including ERP, MES, regulatory, quality, master data, analytics, and supplier collaboration solutions.
• Lead PLM data migration, data quality, reconciliation, archival, and cutover strategies while protecting product history and traceability.
• Facilitate agile squads using SAFe principles, ensuring alignment with business objectives and product roadmaps.
• Lead PI planning, story grooming, and sprint planning sessions for effective delivery cadence and prioritization.
• Collaborate across teams to eliminate roadblocks, triage issues, and ensure transparent communication with stakeholders.
• Launch communities of practice, knowledge-sharing sessions, and hackathons to drive innovation and empower teams.
• Conduct workshops for business users to adopt AI-driven solutions, demonstrating measurable business impact.
• Translate business requirements into technical solutions that drive operational productivity, reduce inefficiencies, and enhance customer experience.

Required Skills & Qualifications

• Proficiency in programming languages: Java, Python, C++, SQL, PL/SQL.
• Hands-on experience with tools and platforms such as AWS Bedrock, Alteryx, Databricks, Jenkins, Denodo, Tableau, AWS Redshift, S3, Lambda, API Gateways.
• Expertise in AI and AI agents, MLOps, ETL/data pipelines, and cloud services.
• Strong understanding of CI/CD practices, DevOps principles, and model governance.
• Proven ability to recruit, mentor, and lead high-performing teams.
• Skilled in stakeholder alignment, cross-functional team management, and problem-solving.
• Experience in running communities of practice, technical workshops, and hackathons.
• Proficient in SAFe framework, including PI planning, ART sync, lean-agile principles, and value stream mapping.
• Strong track record in release planning, estimation, dependency management, and on-time delivery.
• Extensive experience in MedTech and regulatory solutions, including expertise in systems like Windchill PLM, Appian, ThingWorx, and structured content management.

Preferred Qualifications

• Advanced degree in Computer Systems Engineering/Computer science or related field.