Department: IT / Smart Factory Projects
Job purpose: To bridge the gap between manufacturing business lines and IT development teams. The role involves analyzing discrete production processes (assembly machining logistics) to deliver data-driven decision tools and software solutions in an Agile framework.
Responsibilities:
- Analyze and Map discrete manufacturing value streams identifying bottlenecks in material flow WIP (Work in Progress) tracking and station changeovers.
- Translate complex manufacturing requirements into clear User Stories and Functional Specifications for developers (e.g. As a line operator I want to scan a part serial number to retrieve its routing).
- Design analytical dashboards using Python and MySQL to monitor discrete KPIs such as Shift Output Scrap Rates and First Pass Yield (FPY).
- Facilitate Agile ceremonies (Sprints) with a focus on delivering incremental value to the shop floor ensuring software updates do not disrupt production shifts.
- Validate solutions through acceptance testing directly on the production floor ensuring usability for operators handling discrete units.
Decision Making & Authority:
- Prioritize the product backlog based on the ROI for the manufacturing plant (e.g. prioritizing features that reduce line stoppages).
- Determine the Definition of Done for software features related to critical production steps.
Qualifications :
Requirements & Skills:
- Strong knowledge of Discrete Manufacturing processes (BOM tracking serialized production Kanban Just-in-Time).
- Certified in Agile/Scrum with experience applying it in an industrial context.
- Proficiency in Python (Pandas for data analysis) and SQL.
- Ability to model complex discrete flows and identify optimization opportunities (Design Thinking)
Remote Work :
Yes
Employment Type :
Full-time
Department: IT / Smart Factory ProjectsJob purpose: To bridge the gap between manufacturing business lines and IT development teams. The role involves analyzing discrete production processes (assembly machining logistics) to deliver data-driven decision tools and software solutions in an Agile frame...
Department: IT / Smart Factory Projects
Job purpose: To bridge the gap between manufacturing business lines and IT development teams. The role involves analyzing discrete production processes (assembly machining logistics) to deliver data-driven decision tools and software solutions in an Agile framework.
Responsibilities:
- Analyze and Map discrete manufacturing value streams identifying bottlenecks in material flow WIP (Work in Progress) tracking and station changeovers.
- Translate complex manufacturing requirements into clear User Stories and Functional Specifications for developers (e.g. As a line operator I want to scan a part serial number to retrieve its routing).
- Design analytical dashboards using Python and MySQL to monitor discrete KPIs such as Shift Output Scrap Rates and First Pass Yield (FPY).
- Facilitate Agile ceremonies (Sprints) with a focus on delivering incremental value to the shop floor ensuring software updates do not disrupt production shifts.
- Validate solutions through acceptance testing directly on the production floor ensuring usability for operators handling discrete units.
Decision Making & Authority:
- Prioritize the product backlog based on the ROI for the manufacturing plant (e.g. prioritizing features that reduce line stoppages).
- Determine the Definition of Done for software features related to critical production steps.
Qualifications :
Requirements & Skills:
- Strong knowledge of Discrete Manufacturing processes (BOM tracking serialized production Kanban Just-in-Time).
- Certified in Agile/Scrum with experience applying it in an industrial context.
- Proficiency in Python (Pandas for data analysis) and SQL.
- Ability to model complex discrete flows and identify optimization opportunities (Design Thinking)
Remote Work :
Yes
Employment Type :
Full-time
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