AI-Driven Process Excellence Specialist

Philips Iberica SAU

Plymouth (MN)

On-site

USD 128,000 - 204,000

Full time

6 days ago
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Benefits offered by this job

PTO
401k match
Healthcare benefits

Job summary

Philips is seeking a Business Excellence Specialist in Plymouth, MN to drive performance through end-to-end process improvements. You will facilitate workshops, lead monthly performance reviews, and deploy Excellence practice tools across functions to ensure alignment and execution of strategic initiatives.

The role emphasizes AI-enabled methods, stakeholder management, and standardization efforts to boost efficiency and overall performance within a health-technology environment.

Qualifications

  • 5+ years of experience with a Bachelor’s OR 3+ years with a Master’s in Project Management, Change Management, Operations or equivalent.
  • Bachelor’s or Master’s degree in Business Administration, Strategic Management, Engineering or equivalent.

Responsibilities

  • Drive execution of tangible performance and end-to-end process improvement projects.
  • Facilitate workshops and monthly performance reviews for functional alignment.
  • Deploy improvement tools and methodologies (Continuous Improvement, Agile, Process Management, Project Management, Change Management and Performance Management).
  • Leverage AI to scale these methodologies.
  • Standardize and simplify business processes using analysis and optimization techniques.

Skills

Project management
Change management
Operations
Stakeholder management
AI & automation

Education

Bachelors in Business Administration / Engineering
Masters in Business Administration / Engineering

Tools

AI tools
Process management software

Job description

Philips is seeking a Business Excellence Specialist in Plymouth, MN to drive performance through end-to-end process improvements. You will facilitate workshops, lead monthly performance reviews, and deploy Excellence practice tools across functions to ensure alignment and execution of strategic initiatives.

The role emphasizes AI-enabled methods, stakeholder management, and standardization efforts to boost efficiency and overall performance within a health-technology environment.

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