Key Responsibilities:
Lead the setup of AA & AI use case squads, including role identification and coordination with multiple BUs
Collaborate with the Analytics Platform Administration Manager to enable infrastructure and access for development
Support AA & AI squads during model development and help remove bottlenecks
Ensure smooth operationalization and transition of models into production
Partner with ABPs and BUs on change management and adoption into BAU processes
Track and report use case progress, milestones, and value realization to governance bodies
Support COI, BU, and Finance teams in defining and implementing impact-tracking methodologies
Required Skills & Competencies:
Strong understanding of Machine Learning models and the AA & AI lifecycle
Familiarity with data engineering, feature engineering, model building, testing, and operationalization
Basic understanding of banking finance and revenue models
Exposure to Python, R, and DataRobot (plus)
Excellent stakeholder management, communication, and leadership skills
Strong planning, organizational, and execution-focused mindset