Position Details
About this role
Drive the AI agenda for the Enterprise Risk Organization by using analysis to shape strategy for Generative AI and traditional machine learning. Define success metrics, develop analytic frameworks, and surface insights to guide investment decisions and roadmap execution.
Key Responsibilities
- Identify business challenges and opportunities using analysis for strategic recommendations
- Develop hypotheses, test and analyze, and build solution scope including operational feasibility
- Lead implementation efforts and develop a monitoring plan
- Partner with IT, Sales, Operations, Finance, and others to drive improvements
- Define success metrics and analytic frameworks for AI investment decisions
Technical Overview
This role is analytics-led AI strategy work: building analytic frameworks and measurement/monitoring plans for Generative AI and traditional machine learning efforts in a risk context. It also involves hypothesis-driven analysis, assessing operational feasibility, and partnering with IT and business teams for implementation.
Ideal Candidate
The ideal candidate is a senior business analyst with 2+ years of professional analysis experience, focused on AI strategy for risk. They have strong quantitative/analytics instincts and experience defining success metrics, analytic frameworks, and monitoring plans for both Generative AI and traditional machine learning initiatives. They are highly collaborative with IT and business stakeholders and can drive decisions through rigorous analytical reasoning.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have at least 2 years of professional experience performing analysis
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