Vice President - Product Owner, Credit Risk Management Tools & AI

Role Description

The Vice President Product Owner for Credit Risk Management Tools & AI will lead the strategy, development, and delivery of next-generation risk platforms and AI-driven capabilities. This role sits at the intersection of Credit Risk, Risk Analytics, and Technology, driving the buildout of scalable tools that enhance risk measurement, monitoring, reporting, and decision-making across the firm.

Role Responsibilities:

• Lead the end-to-end development of risk management tools, including AI-enabled solutions, from ideation through delivery and continuous improvement
• Partner with Risk, Risk Analytics, and Technology teams to identify high-impact opportunities for tooling and automation
• Define and own the product vision, strategy, and roadmap for credit risk platforms and AI capabilities
• Drive development of tools supporting key credit risk functions such as exposure measurement (PFE, EAD), limit monitoring, stress testing, and portfolio analytics
• Establish scalable, user-friendly dashboards and visualization solutions (e.g., Power BI) for risk monitoring and decision support
• Promote automation and efficiency by embedding AI into credit risk processes (e.g., data aggregation, anomaly detection, reporting insights)
• Drive user adoption through training, change management, and stakeholder engagement
• Stay current with emerging technologies in AI, data, and risk systems, applying them to improve platform capabilities
• Lead backlog prioritization and Agile delivery processes, balancing business value, regulatory requirements, and technical constraints

Qualifications and Skills

• 8+ years of experience in financial services, with strong expertise in product ownership, risk management, and applied knowledge of AI technologies in financial use cases.
• Strong knowledge of credit risk concepts, including counterparty risk, exposure metrics, limit frameworks, and portfolio risk
• Solid understanding of AI/ML techniques and experience with LLM-driven use cases
• Proven experience delivering risk management tools, data platforms, or AI-driven products
• Strong understanding of product management practices, Agile/Scrum methodologies, and software development lifecycle
• Ability to translate complex risk and business requirements into scalable technology solutions
• Creative mindset with ability to identify innovative use cases and drive transformation
• Excellent communication and stakeholder management skills, including interaction with senior leadership
• Strong analytical mindset with focus on delivering measurable business outcomes
• Bachelor’s degree in Finance, Computer Science, Engineering, or related field (advanced degree preferred)