AI-Driven Systems Designer for Engineering Transformation in Montréal

AI-Driven Systems Designer for Engineering Transformation in Montréal

Montréal Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead AI-driven projects to enhance engineering and product development.
  • Company: Zimmer Biomet, a leader in innovative healthcare solutions.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with diverse teams and career advancement opportunities.
  • Why this job: Transform processes with AI and make a real impact in healthcare.
  • Qualifications: Strong systems thinking and technical leadership skills required.

The predicted salary is between 135000 - 165000 $ per year.

Zimmer Biomet is seeking a Sr Systems Designer to lead AI-enabled initiatives that enhance engineering effectiveness, product development efficiency, quality outcomes, and organizational performance. You will partner with engineering, quality, regulatory, clinical, and business teams to transform processes through automation and analytics.

The role requires strong systems thinking, stakeholder influence, and technical leadership to deliver measurable improvements in productivity and decision-making.

AI-Driven Systems Designer for Engineering Transformation in Montréal employer: Zimmer Biomet

At Zimmer Biomet, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the medical technology sector. Our commitment to employee development is reflected in our robust resource groups, flexible work environment, and competitive rewards tailored to our location. Join us to be part of a culture that values recognition, inclusivity, and the opportunity to make a meaningful impact on patients' lives worldwide.

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Contact Details:

Zimmer Biomet Recruitment Team

We think you need these skills to ace AI-Driven Systems Designer for Engineering Transformation in Montréal

AI-Enabled Initiatives
Systems Thinking
Stakeholder Influence
Technical Leadership
Process Automation
Analytics
Engineering Effectiveness