Req ID:520173At 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 roleTake on a new challenge and apply your 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 documentationScoping AI use cases with stakeholders and defining success metrics/KPIs and acceptance criteriaSupporting project planning, scheduling, milestone tracking and dependency managementManaging end-to-end project from identifying Make vs Buy, RFP launching & processing and lead the project Organising discovery workshops and design thinking sessions to identify, prioritise and refine AI opportunitiesConducting stakeholder analysis, gap and impact assessments,



and maintaining traceability across requirementsCollaborating with Data Scientists and Data Engineers, Architects, development teams and PMO to ensure alignmentEnsure alignment on feasibility, requirements, dependencies and delivery constraints across teamsManaging product backlogs (epics, features, user stories) and supporting Agile ceremonies in Jira/Azure DevOps/ConfluencePreparing 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 activitiesIdentifying and tracking risks across scope, timelines, resources, governance and compliance.Supporting change management activities: communication, training coordination, onboarding and post‑deployment follow‑upDemonstrating curiosity, resilience, and a continuous‑learning mindset to evaluate new tools while ensuring value deliveryExposure to agentic AI platforms like Copilot Studio, M365 Copilot, Dataiku and LibreChat to support development of AI prototypes/PoCs will be a plusAll about youWe 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 exposure5–10 years experience as a Project Manager, Business Analyst or similar role in enterprise‑scale initiativesProven 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 dashboardsProficiency with BA/PM tools such as Jira,



Azure DevOps, Confluence, MS Project, Excel and PowerPointStrong communication and facilitation skills to interact with business and technical teams and translate complex AI/technical topics for non‑technical audiencesGood understanding of Agile and/or Waterfall project delivery frameworksExperience supporting UAT, change management and user training for digital solutionsFamiliarity with data analytics and reporting tools like Power BI and Qlik SenseUnderstanding 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 (valuable to have): basic SQL, understanding of APIs/integrations, data structures and data quality concepts; Certifications(good to have): PMP, PRINCE2, CSM, CBAP, PMI‑PBAThings you’ll enjoyJoin 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 enterpriseContribute to innovative AI programmes and work with cutting‑edge platforms to deliver solutions for business needs across AlstomUtilise a dynamic, learning‑oriented workplace that fosters adaptability and technical curiosityShape and influence digital delivery, stakeholder engagement and governance, with clear progression paths in Project Management, Business Analysis, Digital Transformation and Data & AI careersYou 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 noteAs 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

📌 Ai Project Specialist (Bengaluru)
🏢 ALSTOM
📍 Bengaluru