Manufacturing Excellence Specialist

Benefits

Parental leave

Not verified not verified - timestamp not recorded

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

Not verified

Childcare support

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Learning budget

Not verified

Verification

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Salary

$85K-$95K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

46% above the BLS role benchmark for operations aggregate.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manufacturing Excellence Specialist Country United States | State/Province New York Position Summary Manufacturing Excellence Specialist will be responsible for driving operational excellence. Continuous improvement efforts will focus on making sustainable gains in reliability, quality, safety, cost, and delivery. Methods for achieving and sustaining improvements will be based on Nestlé Continuous Excellence (NCE), TPM, and LEAN fundamentals. The team member will need to collaborate closely with division, factory, and other internal partners to achieve the Manufacturing Excellence objectives aligned with the business needs. SCHEDULE: Monday-Friday with flexibility to adjust shifts as business needs arise. Key Responsibilities Create and maintain line and labor standards for new/current SKUs based on loss analysis, studies, and historical data Deploy and leverage digital tools to enhance real-time decision making and analysis of losses Determine optimum machine speed, production cycles, and line crewing required for master scheduling, as well as short-term planning and control Perform bottleneck studies and other industrial performance studies to improve throughput and productivity Develop and publish dashboards, scorecards, and operational review platforms using Power BI, SharePoint, and Teams Build and deploy digital solutions such as Power Apps, Flow, and paperless workflows Identify and implement ways to minimize waste (material losses, machine losses) using NCE and TPM methodologies Develop project teams on key skills to drive continuous improvement Expe

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