AI Business Analyst
Job Summary
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 AI Business Analyst in Bangalore were looking for
Your future role
Take on a new challenge and apply your Business Analyst expertise in the exciting and cutting-edge field of Data Science and Artificial Intelligence. Youll work alongside collaborative and forward-thinking teammates.
Youll play a pivotal role in driving innovation by bridging the gap between business and technical teams delivering enterprise-grade AI solutions that enhance operational excellence at Alstom. Day-to-day youll collaborate with cross-functional stakeholders to shape AI use cases end-to-end from problem framing and feasibility through requirements and backlog refinement to UAT rollout and adoption. Youll also contribute to AI experimentation and prototypes using multiple platforms such as M365 Copilot Copilot Studio Dataiku and LibreChat while promoting responsible citizen development and exploring emerging technologies in a governed manner.
Youll specifically take care of translating business needs into clear functional and non-functional specifications but also managing product backlogs and supporting Agile ceremonies.
Well 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.
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 Data Engineers Architects and development teams to ensure feasibility data readiness quality integrations and feature requirements including constraints and assumptions.
Supporting AI prototypes/PoCs and agentic solutions with platforms like Copilot Studio M365 Copilot Dataiku and LibreChat ensuring a clear handover into delivery.
Driving UAT change management training and adoption activities with business teams.
Identifying and tracking risks across security privacy compliance and AI ethics/bias working with relevant governance functions.
Supporting the end-to-end AI use-case lifecycle from problem definition data feasibility assessment and concept validation to UAT rollout and adoption.
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:
Bachelors degree in IT Computer Science Information Systems Data/Analytics or equivalent with technical exposure.
5-10 years of experience as a Business Analyst in enterprise-scale initiatives with multiple stakeholders.
Proven experience in requirements engineering (e.g. BRD/FRD user stories process modelling such as BPMN/UML prioritisation techniques acceptance criteria).
Strong communication and facilitation skills to translate complex AI/technical topics for non-technical audiences.
Understanding of AI/ML concepts and lifecycle (e.g. use-case framing data pipelines evaluation metrics model limitations); experience working with DS/DE/MLOps teams is a plus.
Experience with agentic AI platforms (e.g. Copilot Studio M365 Copilot Dataiku LibreChat) and Power Platform (Power Apps Power Automate).
Technical foundations: basic SQL understanding of APIs/integrations data structures and data quality concepts; familiarity with Power BI/Tableau is a plus.
Experience supporting UAT change management and user training for new digital or AI solutions.
Hands-on experience with Jira/Azure DevOps/Confluence; familiarity with IBM ALM (RNG EWM ETM) is advantageous.
Certifications (good to have): CBAP PMI-PBA Microsoft Azure AI/DP-900/AI-900 Product Owner (CSPO).
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.
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 AI adoption governance and standards with clear progression paths in AI & Data careers.
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 exciting career opportunities in AI and Data Science.
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:
IC
About Company
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.