Sr. Manager, Materials Management

Job Overview

The Senior Technology Manager will own the product vision and roadmap for materials data, materials property databases, and associated integrations that enable materials selection, simulation, testing, and regulatory traceability. You will drive the digital enablement of materials science workflows, data governance, and materials informatics to deliver scalable, compliant, and high-value solutions that accelerate product development and improve engineering decision-making. This is a visible leadership role partnering closely with Materials Science, R&D, Simulation/CAE, Quality, Regulatory, Supply Chain, PLM, and IT, reporting into the DePuy Synthes Technology organization.

Key Responsibilities

• Own the product vision, roadmap, and lifecycle for Materials Information Management solutions (materials databases, property libraries, material passports, and related tooling) that support R&D, simulation, and product development.
• Define information models, taxonomy, metadata standards, and data governance practices for materials data (composition, microstructure, properties, processing, and test results).
• Translate materials science, engineering, and regulatory requirements into prioritized product requirements, user stories, and acceptance criteria for materials scientists, simulation engineers, and product teams.
• Lead integration strategy and execution for MIM with CAE/Simulation platforms, PLM, LIMS/ELN, test labs, ERP, and other enterprise systems to ensure traceable, simulation-ready material datasets and closed-loop data flows.
• Work closely with PLM product and engineering teams to define integration points, master data synchronization, BOM-material relationships, change propagation, and joint validation/traceability processes between MIM and the PLM solution.
• Drive adoption of materials informatics, analytics, and AI/ML to accelerate materials selection, property prediction, failure analysis, and experimental design; establish pipelines for experimental data ingestion, curation, and reuse.
• Ensure materials data solutions meet regulatory, quality, and data integrity expectations in a regulated medical device environment, supporting validation, audit readiness, and change control for materials-related datasets.
• Prioritize backlog, plan releases, and measure value realization in alignment with enterprise digital, CAE, PLM, and data strategies.
• Collaborate with IT delivery teams, architects, and vendors to ensure solutions are secure, scalable, API-driven, and maintainable.
• Define and monitor KPIs for data quality, data reuse, time-to-insight, simulation success rates, and other material-centric outcomes; drive continuous improvement based on user feedback and metrics.
• Provide thought leadership in materials digitalization, mentor product owners and cross-functional teams, and evangelize best practices for materials data lifecycle management.

Qualifications

Education: Bachelor’s degree required, preferably in Materials Science & Engineering, Mechanical/Chemical Engineering, Information Systems, or a related discipline. Master’s degree (technical or MBA) preferred.

Experience and Skills Required

• 8–10+ years of experience in product management, product ownership, or technology leadership supporting materials engineering, materials informatics, or R&D digital platforms.
• Practical experience with Materials Information Management platforms or materials databases (for example, commercial MIM tools such as ANSYS Granta or equivalent), and with integrating materials data into CAE/PLM ecosystems.
• Strong understanding of materials data types (composition, microstructure, mechanical/physical properties, processing history), BOM-material relationships, specifications, and traceability needs across the product lifecycle.
• Experience in data modeling, metadata design, ontologies/taxonomies, data governance, and data quality frameworks for scientific/engineering data.
• Demonstrated ability to translate R&D and simulation needs into technology roadmaps, value cases, and prioritized backlogs.
• Experience working in regulated environments with knowledge of quality systems, data integrity requirements, and validation expectations.
• Proven leadership and stakeholder management skills across R&D, Simulation/CAE, Quality, Regulatory, PLM, and IT; ability to influence without direct authority.
• Strong written and verbal communication skills for technical and non-technical audiences.

Preferred

• Experience in medical devices or other highly regulated industries supporting materials science, product development, or simulation teams.
• Familiarity with Agile/product-centric delivery models, backlog management, and incremental delivery.
• Experience applying AI/ML to materials problems (property prediction, materials discovery, failure analysis).
• Experience leading or mentoring product owners or materials/technology professionals.
• Relevant certifications in product management, Agile, or data governance are a plus.

Other

Language: English required. Travel: Up to approximately 10–20%, domestic and occasional international. Certifications: Product management, Agile, or related certifications preferred but not required.