Lead with anAI‑firstperspectivetoidentifyopportunities where artificial intelligence, automation, and advanced analytics can improve actuarial systems and processes.
Partner with actuarialbusinessteams to gather, analyze, and document requirements, with a focus onAI‑enableduse casessuch as predictive insights, automation,deepresearchand decision support.
Translate complex actuarial concepts intoclear technical andAI‑readyspecificationsfor IT, data, and AI engineering teams.
Collaborate with AI, data engineering, and platform teams to supportAI‑drivenenhancements, data integrations, and modernization initiatives.
Define and document requirements for actuarial data usage inAI/ML workflows, including data quality, lineage, and governance considerations.
Work closely with QA and validation teams to define test scenario...