Collaborate with data scientists, model developers, risk managers, and compliance teams to gather requirements
Facilitate cross-functional communication between technical and business stakeholders
Present product updates and roadmap to senior leadership- Build consensus among diverse stakeholder groups on feature priorities and trade-offs### Process & Program Management
Establish and optimize model governance workflows within the platform- Oversee the implementation of model documentation and validation processes
Ensure compliance with regulatory requirements for model risk management
Coordinate with enterprise architecture teams for system integration- Manage release planning and change management processes
Streamlining model development and deployment processes
Enhancing model governance and risk management capabilities- Improving collaboration between technical and business teams
Ensuring regulatory compliance for model management
Driving innovation in enterprise AI/ML operations
Data Concepts & Data Modelling, Product Owner, Project Management
10 & Above
Bachelor’s degree in computer science, Business, or related field
6+ years’ experience in product management, preferably in enterprise software- Strong understanding of ML/AI model development lifecycle and governance- Excellent analytical and problem-solving skills- Superior communication and stakeholder management abilities
Experience with model risk management frameworks (SR 11-7 or similar)- Experience with model validation processes and documentation
Knowledge of data science and machine learning concepts- Background in financial services or regulated industries