AI and Data Science leader

Education ＆ Experience: Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field 8+ years of experience in data science, with minimum 4 years in leadership roles Proven track record in banking/financial services industry Demonstrated experience delivering AI/ML projects through complex governance and approval processes Technical Skills: Expert-level proficiency in Python, SQL, and ML frameworks Deep knowledge of ML algorithms: regression, classification, clustering, time series, ensemble methods Experience with ML platforms (Dataiku, SageMaker, Azure ML, or similar) Strong understanding of model risk management, validation frameworks, and regulatory requirements Experience with cloud platforms (MS Azure) Leadership ＆ Soft Skills: Proven ability to build and scale data science teams Strong collaborative mindset with track record of working effectively with control and governance functions Results-oriented leader who drives projects to completion despite organizational complexity Excellent stakeholder management and executive communication skills Experience presenting to boards, committees, and senior leadership Strategic thinking with ability to balance innovation and operational excellence PREFERRED QUALIFICATIONS: Experience with GenAI, LLMs, RAG architectures, and conversational AI Experience establishing or improving model validation processes in partnership with second-line functions Publications or conference presentations in relevant fields