Manufacturing Engineer

Managing Advanced Product Quality Planning (APQP) and Cost management related activities from concept to PPAP to deliver parts at the right quality, total cost, and meet timelines. They accomplish this through collaboration with various functional areas like packaging, transportation, business resources, supply chain, etc.
Implementing product supply strategies aligned with the category management supply strategies that will create a competitive advantage for our customers by developing, optimizing, and integrating a world-class supply network.
Managing the quality feedback loops to ensure lessons learned on quality defects are applied across the supply base.
Driving Value Analysis and Value Engineering (VAVE) through cost modeling, design for manufacturability, and leveraging suppliers capabilities.

Position s Contributions to Work Group:

• Manages part development and quality feedback loops for New Product Introduction (NPI), Continuous Product Improvement (CPI), and New Source Introduction (NSI) related activities by collaborating with suppliers, design control engineers, value chain engineering, and procurement category teams.

Technical Skills

• Level Working Knowledge:
  Approaches a situation or problem by defining the problem or issue and determining its significance.
  Makes a systematic comparison of two or more alternative solutions.
  Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
  Identifies the major forces, events and people impacting and impacted by the situation at hand.
  Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
• Level Extensive Experience:
  Advises on advanced data analysis methodologies and technologies to make more informed decisions.
  Coaches others on improving the validity and reliability of data used in various Decision-Making processes.
  Designs KPIs and metrics to analyze data and influence decisions.
  Evaluates the opportunities and the challenges of integrating data into decisions.
  Oversees data gathering and analysis activities within the organization.
  Seeks input from multiple sources to generate diverse ideas for Decision Making.