The Manager, Design Intelligence & AI Catalyst will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders