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