Industrial Data Management Engineer
Haifa, IL
Alstom
Leading the way to greener and smarter mobility worldwide, Alstom develops and markets integrated systems that provide the sustainable foundations for the future of transportation.PURPOSE OF THE JOB
- Ensure part number availability and related documentation from PLM to ERP aiming to place manufacturing and/or purchase orders for delivering Customer on due time
- Ensure that the industrial Master Data are well implemented in the different systems (PLM, ERP, MES)
- Support the implementation of new IT systems and their updates
In this respect the person in charge complies with Ethics and Compliance policies
ORGANISATION
Organisation structure (job belongs to...)
- RSY
Reports directly to:
- RSY PD / PMs
Other reporting to:
- Subsystems Managers
Network & Links
Internal
- RSY Organization
- Subsystems
- Industrialization: Product Industrial Manager (PIM), Industrialization engineer, Industrial Data team, Methods
- Industrial Operation: Project Industrial Manager (PrIDM)
- Alstom Component Central team dedicated to part codification/management (electronic, mechanical, electrical, …)
- Signalling Industrial Central Methods and Tool
- Engineering: Product engineer Manager, drawing office, life cycle
- Project: Project Engineer Manager
- Installation: Project Installation Manager
- Supply Chain: planner, procurement
- Manufacturing: team leader
- Quality: manufacturing, SQA
- Sourcing: buyers
External
- EPC
MAIN RESPONSABILITIES
- Manage technical data for all part involved in project execution to ensure all these parts are available in project PLM (mBoM) and ERP with relevant properties at expected date to launch manufacturing and purchase order
- Collect, update & crosscheck information between Project teams (PrIDM) and Products(PIM) team to define and secure exact scope of part to be used by Project (Part Number, Revision, Type, Owner, Origin, ...)
- Perform all action/request in Alstom Database dedicated to BoM management to ensure part code availability in project ERP division (subscription, modification, creation request, …)
- Launch/follow any necessary action with other metier in project team: buyer, logistic, engineering, industrial quality to enrich data in ERP division for manufacturing and purchase order
- Ensure data consistency between the different IT systems: CLAMP, PLM, ERP
- Make sure that part number are managed though Signalling standards (Component On Specification, Common Codification rules, product standard code usage, ...)
- Manage the impacts of engineering and process changes in the systems
- Set-up effectivity for application of the changes
- Provide on due time routings and assembly instructions
- Deliver on due time industrial files and data to suppliers
- Apply CLAMP, PLM and ERP standard processes
- Support technical change on PLM and ERP
- Ensure accuracy of BoMs
- Performance measurements: (OTD, QCD, Sales, PMC, Orders, Gross margin, etc.) :
- Data Quality: Reliability of the BoM, of the Material master data and the routings
- Data delivery on due time. File treatment lead-time.
MAIN REQUIRED COMPETENCES
Educational Requirements
- Engineering degree in Engineering, Industrialization, Operations, Industrial, Supply Chain
- Technical education
Experience
Mandatory:
- 5 to 10 years’ experience in Operations, Industrial or Supply Chain department, on electronics, electrical or mechanical devices
- Strong experience in data management:
- Part or BoM creation/update/enrichment with dedicated database/tools ERP (SAP), PLM (Enovia, Teamcenter)
- Configuration management, routings and assembly instructions
- Basic knowledge of Engineering design and Supply Chain
Desirable:
- Solid understanding of railway infrastructure
Competencies & Skills
- Operational effectiveness / Accountability
- Collaboration / Communication with Transparency / Teamwork
- Relationships with Engineering teams
- Availability, accurate and resilient
- English read, written, spoken
Location: The position is located in the northern region of Israel
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data management Data quality Engineering Industrial
Perks/benefits: Transparency
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