Director, Risk Data & Analytics

Job Description Summary

Under general direction, the Director, 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 expanding data ecosystem and emerging capabilities, partnering with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and improve risk reporting.

The Director will transform challenges and opportunities into value-driven use cases, lead assigned Risk Data & Analytics and Risk Technology work streams, and manage assigned team members and delivery resources in alignment with broader strategic roadmaps.

Under general direction, the Director, 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 expanding data ecosystem and emerging capabilities, partnering with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and improve risk reporting.

The Director will transform challenges and opportunities into value-driven use cases, lead assigned Risk Data & Analytics and Risk Technology work streams, and manage assigned team members and delivery resources in alignment with broader strategic roadmaps.

• Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across assigned areas of RJF Risk Management.
• Serve as a subject matter expert on RJF Risk Management data and its touch points across roles, platforms, and processes, including upstream dependencies and downstream impacts.
• Lead assigned components of the Risk Data & Analytics strategy and manage data transformation, entity consolidation, and risk aggregation processes used for regulatory, audit, committee, executive, and board reporting.
• Increase the frequency, breadth, and depth of risk measurement by targeting data-related process friction through automation, analytical methods, and process improvement.
• Build strong stakeholder relationships and translate business, risk, and regulatory needs into clear data requirements, analytical logic, specifications, and delivery artifacts.
• Manage assigned portions of the roadmap and backlog for data, analytics, reporting, dashboarding, workflow, and decision-support use cases.
• Develop and implement analytical approaches and methodologies and assist stakeholders in interpreting results for risk management and business decisions.
• Promote modular design, shared components, and configuration-driven development to reduce total cost of ownership and improve reuse.
• Create and maintain data dictionaries, documentation, visual artifacts, reports, and end-user support materials for technical, risk, business, regulatory, and executive audiences.
• Establish appropriate practices for observability, reproducibility, and auditability of analytics solutions while supporting regulatory, audit, and model risk management expectations.
• 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, performance objectives, coaching, development planning, and accountability for timely, quality delivery.
• Lead assigned projects and work streams within established cost, time, scope, and quality parameters and elevate material risks, dependencies, and decisions as appropriate.

• SQL, Python, relational and distributed database platforms, and industry-standard business intelligence tools such as Tableau and Qlik.
• Data management and governance concepts, including quality, lineage, metadata, reconciliation, information lifecycle management, and…