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Job Overview
The Senior Manager, Engineering Methodology & Tools leads the development and evolution of engineering methodologies, tools, and processes that enable scalable, high-quality product development across the organization.
This role is responsible for advancing modern engineering practices—including AI-enabled productivity, Design for Six Sigma (DFSS), and workflow transformation—to improve engineering effectiveness and accelerate innovation.
Working closely with engineering leadership, product development teams, and cross-functional partners, this role drives the standardization and continuous improvement of engineering practices to ensure the organization remains competitive with rapidly evolving customer and market demands in high-speed connectivity and data center infrastructure.
In addition to methodology and process leadership, the role oversees engineering capability development through scalable onboarding programs, early-career talent incubation, and initiatives that strengthen collaboration, knowledge sharing, and engineering culture across global teams.
Responsibilities:
Engineering Methodology & Process Excellence
- Lead the development and evolution of standardized engineering design methodologies that enable scalable, high-quality product development.
- Establish engineering frameworks, best practices, and governance across product teams to improve consistency, repeatability, and execution discipline.
Engineering Productivity, Digital & AI Enablement
- Drive adoption of advanced digital engineering tools, including AI-enabled solutions, to improve engineering productivity and design efficiency.
- Partner with IT and engineering leadership to integrate modern digital engineering capabilities into core development workflows.
Workflow Transformation & Continuous Improvement
- Lead initiatives to improve engineering operating models, workflows, and development processes to better support market and customer needs.
- Identify systemic barriers impacting development speed and drive continuous improvement initiatives to accelerate product development cycles.
Design Quality & DFSS Leadership
- Champion Design for Six Sigma (DFSS) practices across engineering teams to strengthen product quality, reliability, and risk management.
- Develop DFSS capability through certification programs and integration into product development processes.
Engineering Knowledge Management & Design Reuse
- Establish engineering documentation standards, technical knowledge management practices, and lessons-learned processes across development programs.
- Promote modular architectures, reusable design platforms, and design reuse strategies to reduce duplication and improve development speed.
Engineering Talent Development & Engagement
- Lead scalable onboarding and capability development programs for engineering talent across product teams.
- Foster a strong engineering culture through engagement initiatives, cross-team collaboration, and global knowledge sharing.
Engineering Methodology & Process Excellence
- Lead the development and evolution of standardized engineering design methodologies that enable scalable, high-quality product development.
- Establish engineering frameworks, best practices, and governance across product teams to improve consistency, repeatability, and execution discipline.
Engineering Productivity, Digital & AI Enablement
- Drive adoption of advanced digital engineering tools, including AI-enabled solutions, to improve engineering productivity and design efficiency.
- Partner with IT and engineering leadership to integrate modern digital engineering capabilities into core development workflows.
Workflow Transformation & Continuous Improvement
- Lead initiatives to improve engineering operating models, workflows, and development processes to better support market and customer needs.
- Identify systemic barriers impacting development speed and drive continuous improvement initiatives to accelerate product development cycles.
Design Quality & DFSS Leadership
- Champion Design for Six Sigma (DFSS) practices across engineering teams to strengthen product quality, reliability, and risk management.
- Develop DFSS capability through certification programs and integration into product development processes.
Engineering Knowledge Management & Design Reuse
- Establish engineering documentation standards, technical knowledge management practices, and lessons-learned processes across development programs.
- Promote modular architectures, reusable design platforms, and design reuse strategies to reduce duplication and improve development speed.
Engineering Talent Development & Engagement
- Lead scalable onboarding and capability development programs for engineering talent across product teams.
- Foster a strong engineering culture through engagement initiatives, cross-team collaboration, and global knowledge sharing.
Candidate Desired Profile:
Education
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, Physics, or a related technical field required
- Master's degree or advanced technical training preferred
Experience
- 10+ years of engineering experience in product development, engineering systems, or process improvement
- Demonstrated experience implementing engineering methodologies, development frameworks, or quality systems
- Experience with Design for Six Sigma (DFSS) or similar structured design methodologies
- Experience leading cross-functional engineering initiatives or engineering transformation programs
Skills & Capabilities
- Strong understanding of engineering development processes and product lifecycle management
- Experience implementing digital engineering tools, automation, or AI-enabled productivity solutions
- Ability to lead organizational change related to engineering processes and workflows
- Strong leadership and communication skills with the ability to influence across global engineering teams
- Experience developing engineering talent and building scalable training or capability programs
- Ability to balance strategic transformation initiatives with practical implementation across engineering organizations
