Your Role and ResponsibilitiesThe Business Analyst is responsible for ideating, scoping, and building cognitive solutions:
- Explore cognitive use cases;
- Analyze existing processes and the business context;
- Analyze and articulate user needs;
- Analyze impacts (organizational impacts, benefits cases, etc.);
- Analyze the training data sets for cognitive solutions;
- Participate in the development of specifications and timelines for building cognitive solutions;
- Lead workshops with business stakeholders;
- Ensure and apply methodologies for implementing cognitive solutions;
- Participate in the construction of cognitive solutions;
- Facilitate communication between business teams and technical experts.
Required Technical and Professional Expertise
- Participate in the scoping, development of specifications, and planning for new Artificial Intelligence projects within the group’s entities.
- Write clear and precise specifications by describing the technical, functional, and operational requirements of the project.
- Participate in the implementation of new methodologies.
- Identify constraints and requirements, including deadlines, budgets, and necessary resources.
- Build cognitive solutions in collaboration with business teams by organizing workshops. You will be responsible for communicating the Cognitive Factory’s methodologies and processes to the entities, using Agile practices.
- Work closely with technical teams, including developers, AI engineers, and designers, to ensure that the specifications are feasible and understandable.
- Lead and conduct the gap analysis between the specifications and product requirements, identifying with product teams the elements that could be part of their roadmap.
- Very good French (at least B2)
Preferred Technical and Professional Expertise
- Involvement in Agile ceremonies
- Strong interest in technology
- Rigor, organization, teamwork, creativity, intellectual curiosity
- Strong interpersonal skills and leadership
- Excellent writing skills
- Training in Artificial Intelligence technologies (Knowledge of AI challenges, particularly Generative AI, with a specialization in Natural Language Processing (NLP))
- High-level knowledge of infrastructure and architecture, particularly in cloud environments