Operations Excellence Officer
- Full-time
Company Description
Avery Dennison (NYSE:AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers.
Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect thy physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.
AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, CHINA, INDIA, JAPAN, SINGAPORE, MALAYSIA, THAILAND AND VIETNAM, AND RECOGNIZE AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM.
Job Description
ABOUT YOUR ROLE:
As an Operations Excellence Officer within the Operation Excellence department, you will play a pivotal role in driving manufacturing innovation by implementing Lean Sigma initiatives and accelerating digital transformation. You will lead process improvements initiatives such as Kaizen and VSM deployment while leveraging Manufacturing 4.0 tools and data analytics to optimize operational efficiency. By partnering cross-functionally with operations and engineering teams, you will provide structured problem-solving, develop data-driven visual management systems, and foster organizational capability through targeted training and coaching.
YOUR RESPONSIBILITIES:
1. Continuous Improvement & Lean Sigma:
Lead ELS strategy using Kaizen, VSM and root cause analysis.
Identify process inefficiencies and create improvement roadmaps aligned with site KPIs.
5S, Standard Work deployment and waste-reduction initiatives.
Support daily operational reviews and drive corrective actions using data insights.
Track key performance metrics such as UEE, flexibility, reliability, scrap rate and downtime and work with the operations team to drive improvements.
Design, develop, and maintain interactive dashboards (using tools like Power BI, or Looker) that provide real-time clarity on Key Performance Indicators (KPIs) and decision making
2. Manufacturing 4.0 & Digital Transformation
Support the deployment of Manufacturing 4.0 initiatives and digital capability building.
Develop and sustain dashboards, visual tools, and analytics for data-driven decisions.
Work with teams to enhance automation, digital visibility, and real-time performance monitoring.
3. Operations & Engineering Support
Partner with Operations and Engineering teams to stabilize and optimize manufacturing processes.
Analyze operational and engineering data to identify losses and improve performance.
Provide structured problem-solving support for quality, safety, and reliability issues.
4. Training & Capability Building
Train teams on Lean tools, A3, RCA, and visual management standards.
Coach team members to strengthen internal CI capability.
Support sustainment audits and follow-up assessments for completed projects.
Qualifications
Bachelor’s degree in Engineering (Industrial, Mechanical, Manufacturing, Electrical, or related field)
1-3 Years of industrial experience
Good communication skills, both oral and written, in English.
Understanding of Manufacturing 4.0 and digital transformation concepts.
Ability to interpret operational data and transform insights into actions.
Strong problem-solving and critical-thinking ability.
Effective communication and stakeholder engagement skills in English
Ability to work cross-functionally and influence teams without authority.
High ownership, adaptability and a hands-on mindset.
PREFERRED QUALIFICATIONS:
Experience in the manufacturing or production industry.
Familiarity with Lean Manufacturing and Six Sigma practices.
Proficiency in Power BI, Google Data Studio, Google Docs/Sheets/Slides.
Additional Information
Please send your resume via [email protected]
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