Group Manager RAMS - Data Analytics

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, 80,000 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 Group Manager RAMS - Data Analytics in Bangalore we’re looking for?

Your future role

Take on a new challenge and apply your analytical and project management expertise in a new cutting-edge field. You’ll work alongside innovative, driven, and collaborative teammates.

You'll lead a multidisciplinary team of data scientists, machine learning engineers, and big data specialists to deliver a wide variety of projects. Day-to-day, you’ll work closely with teams across the business (including Reliability and Safety domains), develop project plans, drive deliverables, and much more.

You’ll 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.

We’ll 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. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

Engineering or master’s 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 you’ll 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.

You’ll 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 don’t 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, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.

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