BUSINESS FOCUSED - ENGINEERING - EMBEDDED IT LEADERSHIP ROLE
Job Title: Sr. Director - IT, Engineering, EMBEDDED Services (Full Time)
Location: San Jose, Ca. (Hybrid role - in the office 3 days a week, 2 days remote)
Salary: Based on Relevant experience, Skills, Education, Certifications. Etc.
Benefits: Health Insurance / 401K / Incentive Plans / Bonus, etc.
Looking for candidate in and around (drivable distance) San Jose, CA
NO RELOCATION / NO SPONSORSHIP
This is a business-focused, engineering-embedded IT leadership role, not a traditional IT position. The successful candidate will serve as a strategic partner who will endeavor to deeply understand Engineering's business challenges and translate them into IT-enabled solutions.
Primary Vison for this role
- Immerse into Engineering's business operations across all functions (design, validation, manufacturing handoff, customer service, market dynamics, etc.)
- Identify process inefficiencies and delivery gaps where IT can add value
- Build trust-based partnerships with Engineering leadership to enable innovation and velocity
What our client is Looking For
- Engineering-first perspective with IT as the enablement toolset
- Business problem solver who happens to use technology
- Curiosity about Engineering workflows, pain points, and success metrics
Responsibilities for this role
- Serve as the senior IT leader supporting global hardware and firmware engineering organizations
- Modernize engineering technologies, processes, and practices to improve efficiency, quality, and collaboration.
- Champion IT–Engineering partnership, ensuring open communication, transparency, and mutual alignment on priorities.
- Oversee IT capabilities supporting product lifecycle management (PLM), CAD, EDA, test automation, simulation, and other engineering tools.
Qualifications for this role
- 15+ years of progressive IT leadership experience, including senior leadership roles.
- Strong background in product engineering systems, including PLM, CAD/EDA, Simulation Software, Systems Modeling Tools, AI assisted Firmware/Software development and related tools.
- Deep understanding of hardware engineering workflows, complemented by exposure to software engineering practices.
- Experience with AI/ML applications in engineering or IT domains.
- Strong knowledge of end-to-end product development and manufacturing processes.