Cutting Operator/ Operador de corte – C shift

Website BD
Qualifications
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Degree level qualification; or equivalent combination of education and experience
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Responsibilities
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This professional will drive the development and implementation of Tiered Management programs and other productivity-related improvement programs at the GDC
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This role will manage Productivity tool implementation, training, and analytics to support the operations team’s success in driving and delivering the cost-to-win GDC savings commitment
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This associate will drive these process improvement initiatives on the distribution floor as well as process changes that might be external to the Distribution center
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Reporting to the Senior Manager of Continuous Improvement and CAPEX
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Builds and deploys Tiered Management System principles in the GDC and drives the launch of any program that supports the GDC operation
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This associate will also be responsible for Ops Analytics to provide the training, support, and data analytics to support the GDC operation
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Develops roles and responsibilities regarding process simplification, modeling, simulation and automation to help improve operational improvements in Ops
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This professional will be responsible for driving training initiatives across the site which may include or are not limited to Skill matrix development, skill matrix maintenance, and driving standardized training across shifts
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Drives process documentation & tool standards to facilitate data mining, analysis, modeling and simulation; makes connections to various supporting technology roadmaps
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This associate will also be responsible for Ops coaching and support based on data analytics that provides operational visibility
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Demonstrates management courage to articulate risks, setbacks and/or challenges of initiatives to executive management
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Must ensure safety first environment and be able to work diligently to maintain safe working conditions and adhere to proper operating practices
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Partners with operating units (BU, region, function) to define relevant process KPIs (including ownership of KPIs and variables that serve as KPI inputs)
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Regular and reliable attendance at work
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