VP, Risk Data & Analytics

Job Description Summary Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management. The role will serve as a subject matter expert on Risk’s rapidly expanding data ecosystem and emerging capabilities, partnering closely with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and drive accurate and intuitive risk reporting. The VP will transform challenges and opportunities into value-driven use cases and oversee the design and execution of concurrent Risk Data & Analytics and Risk Technology workstreams, ensuring that solutions are well documented, well governed, and aligned to the broader RJF Risk Management and Risk & Data Analytics strategic roadmaps. Job Description Essential Duties and Responsibilities Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across RJF Risk Management. Serve as a subject matter expert on RJF Risk Management’s data and its various touch points across roles, platforms, and processes, especially upstream dependencies and downstream impact. Manage data transformation, entity consolidation, and risk aggregation processes used to report exposure to regulatory, audit, committee, executive management, and board level audiences. Increase the frequency, breadth, and depth of risk measurement capabilities by targeting data-related process friction through automation and process improvement. Build strong relationships with stakeholders and use techniques such as structured interviewing, group workshops, and free form whiteboarding sessions to solicit requirements and transform them into polished specifications and support artifacts for Risk Data & Analytics and Risk Technology. Actively manage a backlog and roadmap of risk management platform, data, analytics, reporting, dashboarding, workflow, and decision-support use cases. Continuously drive down total cost of ownership of data-driven solutions by promoting modular design, shared components, and configuration-driven development. Promote visual and user experience design concepts to deliver solutions that are pleasing to look at, intuitive to use and understand, elegant in their simplicity, and accessible to all who use them.