Lead and manage multiple concurrent Data, AI, and Mobile Internet Banking projects across the entire lifecycle.
Establish and implement flexible project management methodologies, effectively combining Agile (Scrum) principles with traditional planning to suit complex AI development needs.
Proactively identify and mitigate project risks unique to AI (data quality, model performance, ethical considerations, and regulatory compliance).
Facilitate communication between technical teams and senior business stakeholders, clearly communicating delivery updates and guiding expectations regarding AI capabilities and limitations.
Manage large project budgets and resource allocation across teams.
Lead all Scrum ceremonies (planning, retrospectives), maintain comprehensive documentation, and monitor project KPIs for executive-level reporting.

Experience within the banking/financial services industry.
Significant demonstrable experience (7+ years) managing complex technology projects, with demonstrable success in delivering enterprise-scale machine learning or data science projects.
Strong functional understanding of the complete AI/ML development lifecycle, from data preparation and model development to deployment and MLOps.
Proven experience with both Agile (Scrum Master proficiency) and traditional project management methodologies.
Demonstrated experience managing budgets exceeding $1M and leading large, cross-functional, and often geographically distributed teams.
Solid understanding of data privacy, security requirements, and experience with AI governance frameworks and responsible AI best practices.
Outstanding leadership, communication, and problem-solving skills with a proven ability to manage complex stakeholder expectations.
Excellent knowledge of project management tools (e.g., Jira, Microsoft Project, Azure DevOps).

Scrum Master

Key skills