Product Introduction Data management Key-user
Brugge, VWV, BE
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.Req ID:425804
Leading societies to a low carbon future, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high-speed trains, metros, monorail, and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible, and innovative company where more than 70,000 people lead the way to greener and smarter mobility, worldwide
PURPOSE OF THE JOB
Management of all database related work for relevant Product Introduction (PI) projects with respect to product failures and material management
MAIN RESPONSABILITIES
Key accountabilities:
- Collect Incident data in GAMO Maximo (FRACAS Module) to record coding for reliability measurement
- Leverage GMAO Maximo troubleshooting data to improve service reporting quality and determine fault
- Steering the FRB (Failure Review Board) process with meeting facilitation and Project/Quality/Eng RS interface
- Preparation of Weekly Service Failure Reviews meetings – ensure that the troubleshooting performed explains the incident, complete the incident records
- Implement & configure the PI Data Management System, to ensure exploitability and usability of the data.
- Extract, analyze & adapt relevant data in actionable form.
- Review & monitor data to assure data quality and feedback to teams for corrective actions.
- Add data aggregation and categorization information
- Support Reliability Growth actions in cooperation with RAMS and Quality
- Support charge back recovery
- Participate in Return of Experience for failure management applications
- Provide support to other database users if being key user
- Link PI database to other relevant databases for operational purposes
- Capture data and elaborate PI KPI's dashboard for PI organization, communicate and publish reports/results
- Respect the application of EHS rules and PI processes
Performance measurements:
- Readiness of PI Data Management System at warranty start
- Quality and availability of train failure data in Data Management System
- Quality and availability of data for material management
- Availability of KPI’s dashboard for PI organization
- Compliance with PI Implementation processes
MAIN REQUIRED COMPETENCES
Educational Requirements
Mandatory:
Graduated from engineering school or equivalent
Mandatory:
Graduated from engineering school or equivalent
Desirable:
- Master’s degree in Engineering
- English
Experience
Mandatory:
- Several years of technical experience, either mechanical or electrical / electronic engineering
- Railway safety & RAM
- Product knowledge
- Data analytics
Desirable:
- General Railway knowledge
- Field Experience
- Problem Solving skills
Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrow’s mobility. That’s why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose?
Equal opportunity statement:
Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law.
Job Type:Experienced
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data Analytics Data management Data quality Engineering KPIs
Perks/benefits: Startup environment
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