Manager, Regional Operational Excellence

Position: MANAGER, REGIONAL OPERATIONAL EXCELLENCE
## MANAGER, REGIONAL OPERATIONAL EXCELLENCEApplylocations:
USA - WI - Racine time type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
July 25, 2026 (3 days left to apply) job requisition :
33594SC JOHNSON IS A FIFTH-GENERATION FAMILY COMPANY BUILT ON THE SPIRIT OF OUR PEOPLE. We have been leading with purpose for over 130 years, building iconic brands that win the hearts and minds of consumers – such as Raid, Glade, Ziploc and more, in virtually every country around the world. Together, we are creating a better future – for the planet, for future generations and for every SCJ team member.

Join our winning team of Wave Makers and Go Getters and help us write the next chapter in the SCJ story.
** ABOUT

THE ROLE
** The
** Manager Regional Operational Excellence
** is accountable for driving measurable, sustainable productivity and cost improvements across multiple manufacturing sites. In this role, you will partner with Plant Managers and Regional Leadership to deploy standardized operating systems, build organizational capability, and deliver a robust pipeline of initiatives with validated financial impact. You will act as the bridge between Global Manufacturing COE standards and site execution, this leader ensures consistency, scalability, and alignment of manufacturing excellence practices across the  this role you will also drive the advancement of Digital Manufacturing and Factory 4.0 capabilities by integrating data, automation, advanced analytics, and Artificial Intelligence (AI) into operational processes to enable real-time decision making, predictive performance, and scalable improvements across sites.
** All qualified candidates are welcome to apply; a preferred candidate has been identified.
**** KEY RESPONSIBILITIES
*** Own and deliver a regional productivity pipeline with validated financial impact (cost reduction, OEE improvement, scrap reduction).
* Identify, prioritize, and eliminate top manufacturing losses using data-driven analysis.
* Implement and sustain standardized Daily Management Systems (DMS), tiered accountability, and visual management across all sites.
* Leverage machine learning models to improve throughput, reduce downtime, and enhance yield performance.
* Drive replication and standardization of best practices across plants to reduce variability in performance.
* Partner with Plant Managers to ensure accountability for results while providing systems, tools, and coaching.
* Establish and lead a regional operating cadence (weekly, monthly, quarterly performance reviews).
* Develop and track capability-building plans for plant leadership and operational teams.
* Collaborate with Global COE to adapt and deploy manufacturing excellence standards effectively.
* Leverage digital tools (SAP, Power BI, Power Apps, Red Zone, etc.) to enhance performance visibility and proactive decision-making.
* Identify and scale Factory 4.0 opportunities, including automation, advanced analytics, and smart manufacturing solutions.
* Act as a strategic partner to the Senior Regional Director in shaping productivity roadmaps and operational strategy.
** Artificial Intelligence, Advanced Analytics, Digital Manufacturing & Factory 4.0
*** Identify and deploy AI-driven use cases (predictive maintenance, demand forecasting, quality prediction, energy optimization).
* Integrate AI insights into Daily Management Systems to enable prescriptive and autonomous decision-making at the plant level.
* Partner with IT, Data Science teams, and Global COE to develop scalable AI solutions and data governance frameworks.
* Drive adoption of AI-powered tools (e.g., anomaly detection, computer vision for quality, digital twins).
* Build organizational understanding and capability in AI literacy and data-driven culture across sites.
* Lead deployment of Digital Manufacturing, Factory 4.0, and AI-enabled initiatives across the region.
* Utilize MES, SAP, IoT platforms, and analytics tools to enable real-time performance management.
* Drive adoption of digital dashboards and automated data pipelines for decision-making.
* Identify automation opportunities to improve productivity and reduce variability.
* Enable predictive analytics for downtime, quality, and maintenance improvements using AI/ML models.
* Partner cross-functionally, e.g. with IT and Global COEs, to ensure scalable digital and AI solutions.
** REQUIRED EXPERIENCE YOU’LL BRING
*** Bachelor’s Degree required and 5+ years of experience in supply chain (internships included), manufacturing or a related field, or an advanced degree and 3+ years of experience in supply chain.
* Qualified candidates must be legally authorized to work in the United States without the need for current or future sponsorship for full-time employment.
** PREFERRED EXPERIENCES AND SKILLS
*** Proven experience leading multi-site operational improvement initiatives
* Strong financial and business acumen
* Expertise in Lean, Six Sigma, and continuous improvement methodologies
* Experience with Digital…