AI Business Analyst with French

Profile Required:

• 5+ years of experience as a Project Manager, Continuous Improvement Manager,

Business Analyst, AI Consultant, or related role;

• No IT background or direct experience with AI projects is required;

• Relevant industry certifications – PMI, Lean Six Sigma, Agile, Scrum, etc;

• Willingness to understand KYU business: activity, regulations and standards;

• Excellent understanding of metrics and how to evaluate and measure the value of

change;

• Domain expertise – proven rigorous discipline in managing projects;

• Familiar with transformation strategies and strategic change management;

• Proven ability to manage complex situations that combine strategic, financial,

operational, management and technological aspects;

• Experience in working with a complex stakeholders environment;

• Foreign languages: French – advanced level (mandatory), English – intermediate level.

Responsibilities:

• Gather, document, and analyze business requirements to develop AI use cases or

other transformation business cases;

• Collaborate with stakeholders to identify business challenges and opportunities

that can be addressed through AI/automation solutions;

• Evaluate AI trends and market developments to provide insights for business

growth;

• Define key performance indicators (KPIs) to measure AI and transformation project

success;

• Work closely with data scientists, engineers, and software developers to design and

implement AI solutions;

• Conduct feasibility studies, proof of concepts (PoCs), and pilot programs for AI and

transformation initiatives;

• Monitor and optimize AI implementations to improve performance and accuracy;

• Develop project plans, timelines, and resource allocation for AI and transformation

initiatives;

• Manage project scope, risks, and stakeholder expectations;

• Track project progress, report milestones, and provide status updates to leadership;

• Contribute to the definition, design and development of key process transformation

areas required to enable successful organizational set-up and implementation

(digital transformation, process modernization and optimisation).