EDU Manager-RAMS-Data Analytics
EDU Manager-RAMS-Data Analytics
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Job Description
At Alstom we understand transport networks and what moves people. From high-speed trains metros monorails and trams to turnkey systems services infrastructure signalling and digital mobility we offer our diverse customers the broadest portfolio in the industry. Every day 80000 colleagues lead the way to greener and smarter mobility worldwide connecting cities as we reduce carbon and replace cars.
Could you be the full-time EDU Manager-RAMS-Data Analytics in Bangalore were looking for
Your future role
Take on a new challenge and apply your analytical and project management expertise in a new cutting-edge field. Youll work alongside innovative driven and collaborative teammates.
Youll lead a multidisciplinary team of data scientists machine learning engineers and big data specialists to deliver a wide variety of projects. Day-to-day youll work closely with teams across the business (including Reliability and Safety domains) develop project plans drive deliverables and much more.
Youll specifically take care of leading resources located in multiple locations towards a common deliverable but also communicate and influence audiences of various levels and diverse backgrounds.
Well look to you for:
Managing multiple projects concurrently prioritizing and planning to meet roadmap goals and objectives
Leading without formal authority and working both independently and in team environments
Strong communication and problem-solving skills with the ability to listen to customer needs and translate into actionable solutions
Assisting in the definition of project scope and objectives involving all relevant stakeholders and ensuring technical feasibility
Measuring project performance using appropriate tools and techniques
Creating and maintaining comprehensive project documentation
All about you
We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead weve listed some that we think will help you succeed and grow in this role:
Engineering or masters degree in computer science Data Science Mathematics or similar field or equivalent work experience
Experience in data project management and working with customers
Minimum 12 years of experience
Knowledge of Railway Signalling or Traffic fields
Familiarity with Data Science modeling techniques
Basic software skills and knowledge including at least one coding language and software release management
A Project Management Professional (PMP) or Agile project management certification (desirable)
Knowledge about software product design and requirement management (desirable)
Knowledge of Agile Methodology and related implementation (desirable)
Fluent in English; French is a plus
Things youll enjoy
Join us on a life-long transformative journey the rail industry is here to stay so you can grow and develop new skills and experiences throughout your career.
Youll also:
Enjoy stability challenges and a long-term career free from boring daily routines
Work with new security standards for rail signalling
Collaborate with transverse teams and helpful colleagues
Contribute to innovative projects
Utilise our flexible working environment
Steer your career in whatever direction you choose across functions and countries
Benefit from our investment in your development through award-winning learning
Progress towards leadership and advanced technical roles
Benefit from a fair and dynamic reward package that recognises your performance and potential plus comprehensive and competitive social coverage (life medical pension)
You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family youll be proud. If youre up for the challenge wed love to hear from you!
Important to note
As a global business were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.
Required Experience:
Manager
Employment Type
Full Time
