Define the AI Vision: Develop and execute a comprehensive AI roadmap aligned with the leasing business strategy, prioritizing high-impact use cases across the lease lifecycle (origination, underwriting, servicing, collections, asset management) .
Establish the CoE Framework: Build the governance, operating model, and best practices for AI adoption, including model development standards, ethical AI guidelines, data privacy protocols, and performance measurement frameworks.
Stakeholder Engagement: Partner with Commercial, Credit, Risk, Operations, and DT leaders to identify pain points and opportunities where AI can drive efficiency, revenue growth, and risk reduction.
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Own a vertical end-to-end — outcomes and metrics, a backlog prioritised by value / risk / dependency / strategic priority, acceptance criteria crisp enough to build and test against.
Shape the technical design with engineering — system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party-rail reliance and rail-down behaviour, failure/retry/refund paths, security, latency, scalability, recovery.
Make hard trade-offs across correctness, speed, cost, reliability and UX — and defend them to an engineering, compliance or ops lead who pushes back.
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Leading the development of impactful marketing materials, including detailing aids, training manuals, and engaging presentations for both internal teams and external healthcare partners.
Executing cost-effective sales promotion and advertising campaigns in collaboration with the sales team while ensuring strict regulatory compliance.
Analyzing market feedback and presenting ROI reports to senior management to drive the continuous improvement of marketing strategies.
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