Experience in defining and managing data and AI transformation projects, translating strategy into operational actions
Expertise in strategy and digital transformation
Knowledge of regulatory and ethical frameworks (AI Act, DORA, RGPD, Bâle III, Solvabilité 2)
Skills in data governance, AI systems (traceability, explainability, accountability)
Proficiency in risk management for algorithmic models, ensuring robustness and security
Experience in developing and auditing predictive and explainable models (forecasting, scoring, fraud detection)
Mastery of explainability methods (LIME, SHAP, XAI)
Ability to propose corrective actions for bias reduction, optimizing fairness, transparency, and model performance
Responsibilities
Define strategic vision: Elaborate and deploy Data & IA roadmaps, identify high-value use cases, define industrialization setups aligned with business objectives
Conduct strategic diagnostics: Perform data and AI maturity assessments to identify transformation levers and prioritize technological and human investments
Implement governance, compliance, and responsible AI: Set up data and AI governance frameworks ensuring compliance with regulations
Manage risks: Lead evaluation of algorithmic model risks and ensure system robustness and security
Design and audit models: Develop and audit predictive and explainable models, integrating explainability methods
Advise and support transversally: Counsel data, risk, legal, and business directions in implementing data-driven solutions
Organize and animate strategic workshops: Align strategic and operational objectives, support AI governance committees
Structure diagnostics and develop tailored Data & IA roadmaps for transformation and competitiveness
Identify and prioritize investments for successful data and AI adoption in a robust regulatory framework
Deploy innovative strategies to secure and amplify technology impact on business processes and risk management
Provide strategic advice to optimize alignment between business objectives and technological initiatives