Risk Management Data Strategist Lead Vice President

What you'll do

• Own the risk data foundations including sourcing, integration, metadata, lineage, and lifecycle risk controls.
• Define and evolve data governance standards and documentation to enable trusted data consumption.
• Design and deliver applied AI/ML solutions, including generative AI and agentic workflows, for risk oversight.
• Implement LLM agents and multi-agent systems featuring planning, task execution, and human-in-the-loop escalation.
• Translate business needs into technical designs, acceptance criteria, and measurable execution plans.
• Lead end-to-end delivery from initial requirements and POCs through to production and scaled adoption.
• Build verification and validation mechanisms like business-rule checks and regression testing to ensure reliable outputs.
• Establish and monitor measurable data KPIs to steer the roadmap and prioritize data initiatives.

What we're looking for

• Bachelor’s degree in a relevant field or equivalent professional experience.
• 5+ years of experience in data management, data governance, risk management/analytics, data science, or a closely related domain.
• Proficiency in programming with Python and working with SQL or similar querying languages.
• Ability to build and interpret dashboards and analysis using Tableau or equivalent BI tools.
• Strong analytical problem-solving skills and the ability to communicate clearly with business, risk, and technology stakeholders.
• Foundational knowledge of data management principles and end-to-end data lifecycle management.
• Hands-on experience with an LLM platform, agent orchestration frameworks, and production system observability (preferred).
• Familiarity with big data platforms, cloud/DevOps tools, and data governance tooling (preferred).