Digital Manufacturing Leader
Warren, OH, USA · Senior · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 88%
Reported a layoff in this occupation
Files H-1B transfers
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About the role
- Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional®.
- At Kimberly-Clark, it's all here for you-innovation, growth, and the chance to make a real impact.
- Our culture is built around shared leadership, continuous learning, accountability, and respect for people.
Responsibilities
- Develops, advises, and recommends long term resolutions to systemic manufacturing problems.
- Champion & support mobile digital applications (i.e. Poka, SchedulePro)
- Drive continuous improvement and change management within their system(s) of responsibility to drive efficiency and effectiveness improvements across the organization.
- Analyzes the data structure, calculations, and workflow within their major plant systems to leverage, integrate, and optimize systems and people across the supply chain.
- Provide analytical support for the data contained within and generated by the respective manufacturing system.
- Site lead for deployment of SMOM (Smart Manufacturing Operations Management) system, ensuring the success by providing technical expertise and effective facilitation of the process.
- Develop and maintain data flows into SMOM (manual entries, PLC inputs, etc.) for generating information (reports, dashboards etc.)
- Support development and implementation of plans/programs for sustaining the long-term growth of SMOM to meet sector objectives.
Requirements
- Bachelor's Degree in Supply Chain, Engineering, Finance, ITS or related field
- Minimum 5+ years of relevant professional experience with 3+ years of systems support and development.
- Possess or demonstrate ability to learn statistical/analytical
- Influential communication, growth mindset, and the ability to strategically navigate at multiple levels of a diverse plant organization are important in this role.
Skills
- Direct experience with large, interconnected software systems such as SAP ERP, MES, PLM, etc.
- Regression, Statistical Process Control, Financial Analysis, Analytical Modeling, and Industrial Process Analytics.
- Led by Purpose.
- Total Benefits
- If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.
- For a complete overview, see www.mykcbenefits.com
- To Be Considered
- Click the Apply button and complete the online application process.
- In the meantime, please check out the careers website.
- And finally, the fine print….
- The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification.
- Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.
Compensation
- 105,740 - 130,620 USD
- At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow.
- Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan.
- The anticipated base pay range for this role is provided above for a fully qualified hire.
- Actual pay will depend on several factors, such as location, role, skills, performance, and experience.
- Please note that the stated pay range applies to US locations only.
Visa & Work Authorization
- disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law
This listing is sourced directly from Linkedin's careers page and normalized into a canonical job model.