VP, Risk Data & Analytics

About the role

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. Create and actively maintain documentation, visual artifacts, guides, and end user support materials. Establish a framework of observability, reproducibility, and auditability for analytics solutions that tightly manages experiments, model training, testing, inference, and ground truth and performance data integration while providing a sight glass for regulatory oversight, audit, and model risk management. Provide ad hoc reporting, visualization, and analytical support for regulatory, audit, compliance, business unit, and executive management inquiries. Manage assigned team members and delivery resources, including workload prioritization, coaching, performance management, and development planning. Knowledge of Risk management concepts and practices, including risk identification, appetite, aggregation, measurement, monitoring, control, reporting, escalation, and governance. Financial markets, products, financial advisory activities, investment processes, and related risk management considerations. Risk data, analytics, and reporting practices across financial and non-financial risk domains. Software Development Life Cycle (SDLC) frameworks (e.g. Waterfall, Agile) Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory lenses applicable to risk data, analytics, reporting, and controls within banking, brokerage, and capital markets. Intermediate understanding of and hands on experience with SQL and Python. RDBMS (e.g. Oracle, Postgres) and distributed database platforms (e.g. Redshift, Snowflake) Hands on experience with industry standard business intelligence tooling (e.g. Tableau, Qlik, PowerBI) Work and project management tooling (e.g. SharePoint and Confluence wikis, MS Project, Smartsheet) Data management and governance concepts, including quality, lineage, metadata, documentation, reconciliation, and change management. Requirements gathering, solution design, implementation planning, testing, user acceptance, and production support for data, reporting, and analytics solutions. Skill in Developing creative, pragmatic solutions to complex data, reporting, analytics, and technology matters. Preparing and delivering clear, effective, and professional presentations for technical, risk, business, and senior management while bridging communication between technical and non-technical audiences. Translating business, risk, and regulatory data needs into clear requirements, user stories, data specifications, process documentation, implementation plan

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