AI Project Business Analyst

AI Project Business Analyst

Req ID:509647 

 

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, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

 

 

As part of Alstom’s global digital transformation, our Data Science & AI team plays a strategic role in accelerating innovation, operational excellence, and enterprise‑wide adoption of AI‑driven solutions.

Your future role

Take on a new challenge and apply your Business Analyst and Project Management skills in the exciting cutting-edge field of Data Science and Artificial Intelligence. You’ll work alongside collaborative and forward-thinking teammates. You'll play a pivotal role in ensuring effective delivery of enterprise grade digital and AI‑enabled initiatives to support operational excellence at Alstom.

Day‑to‑day, you’ll collaborate with cross‑functional stakeholders to shape AI use cases end‑to‑end —  from problem framing and feasibility, through requirements and backlog refinement, to planning and tracking project activities, managing timelines and milestones, and supporting coordination across business, PMO, and delivery teams. You’ll contribute to solution design discussions, assist in backlog refinement, and help ensure smooth execution and adoption of digital initiatives.

We’ll look to you for:

• Translating business needs into clear, functional and non‑functional specifications and high‑quality documentation
• Scoping AI use cases with stakeholders and defining success metrics/KPIs and acceptance criteria
• Supporting project planning, scheduling, milestone tracking and dependency management
• Organising discovery workshops and design thinking sessions to identify, prioritise and refine AI opportunities
• Conducting stakeholder analysis, gap and impact assessments, and maintaining traceability across requirements
• Collaborating with Data Scientists and Data Engineers, Architects, development teams and PMO to ensure alignment
• Ensure alignment on feasibility, requirements, dependencies and delivery constraints across teams
• Managing product backlogs (epics, features, user stories) and supporting Agile ceremonies in Jira/Azure DevOps/Confluence
• Preparing project artefacts (RAID logs, dashboards, status reports, documentation)
• Coordinating with cross‑functional teams to track deliverables and resolve issues. Driving UAT planning, test coordination, defect management, training and adoption activities
• Identifying and tracking risks across scope, timelines, resources, governance and compliance.
• Supporting change management activities: communication, training coordination, onboarding and post‑deployment follow‑up
• Demonstrating curiosity, resilience, and a continuous‑learning mindset to evaluate new tools while ensuring value delivery
• Exposure to agentic AI platforms like Copilot Studio, M365 Copilot, Dataiku and LibreChat to support development of AI prototypes/PoCs will be a plus

All about you

We value curiosity, ownership and a growth mindset. 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:

• Bachelor’s degree in IT, Computer Science, Information Systems, Data/Analytics, or equivalent with technical exposure
• 5–10 years experience as a Business Analyst, Project Manager or similar role in enterprise‑scale initiatives
• Proven experience in requirements engineering (BRD/FRD, user stories, process modelling such as BPMN/UML, prioritization techniques, acceptance criteria)
• Experience planning and coordinating multi‑stakeholder projects, including RAID and project dashboards
• Proficiency with BA/PM tools such as Jira, Azure DevOps, Confluence, MS Project, Excel and PowerPoint
• Strong communication and facilitation skills to interact with business and technical teams and translate complex AI/technical topics for non‑technical audiences
• Good understanding of Agile and/or Waterfall project delivery frameworks
• Experience supporting UAT, change management and user training for digital solutions
• Familiarity with data analytics and reporting tools like Power BI and Qlik Sense
• Basic understanding of AI/ML concepts and lifecycle (use‑case framing, data pipelines, evaluation metrics, model limitations) is expected.
• Good To have:
  • Experience with agentic AI platforms (e.g., Copilot Studio, M365 Copilot, Dataiku, LibreChat) and Power Platform (Power Apps, Power Automate)
  • Technical foundations (good to have): basic SQL, understanding of APIs/integrations, data structures and data quality concepts; 
  • Certifications (good to have): PMP, PRINCE2, CSM, CBAP, PMI‑PBA

Things you’ll enjoy

Join us on a 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:

• Collaborate with transverse teams and supportive colleagues across a global enterprise
• Contribute to innovative AI programmes and work with cutting‑edge platforms to deliver solutions for business needs across Alstom
• Utilise a dynamic, learning‑oriented environment that fosters adaptability and technical curiosity
• Shape and influence digital delivery, stakeholder engagement and governance, with clear progression paths in Project Management, Business Analysis, Digital Transformation and Data & AI careers

 

 

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.

 

 

Job Type:​Experienced​

Experience Level

Senior Level