Lead end-to-end planning, execution, monitoring, and delivery of AI and machine learning projects within the banking and financial services domain.
Collaborate with business stakeholders, product owners, data scientists, AI/ML engineers, architects, developers, and QA teams to define project scope, objectives, and deliverables.
Manage project risks, issues, dependencies, change requests, and escalations to ensure timely and successful delivery.
Work closely with banking teams across payments, retail banking, commercial banking, lending, fraud detection, risk management, compliance, and customer service.
Ensure AI solutions comply with banking regulations, data privacy requirements, information security policies, model governance, and responsible AI standards.
Track project performance using KPIs, dashboards, status reports, budget utilization, and delivery metrics.
Facilitate stakeholder meetings, steering committee reviews, sprint planning, backlog reviews, and executive-level status updates.
Manage Agile/Scrum or hybrid delivery methodologies, ensuring effective collaboration across business and technology teams.
Coordinate AI model development, data preparation, model validation, testing, deployment, integration, and post-production support.
Partner with data governance, cybersecurity, compliance, legal, and risk teams to address AI-related risks and controls.
Drive continuous improvement, process optimization, automation, and adoption of AI capabilities across banking operations.