Own the vision, strategy, and multi-quarter roadmap for agentic AI solutions
Lead the AI Modeling Platform (AMP) as a product by defining capabilities and prioritizing features
Translate business problems into measurable value cases and track benefits realization
Establish standards for agent safety, governance, and controls appropriate for regulated banking use
Lead and grow a team of data scientists / ML engineers / decision scientists
Drive end-to-end Agile delivery from discovery through scaling and lifecycle management
Drive enterprise partnership and scale by aligning cross-functional stakeholders and cross-region teams
Stay ahead of agentic AI/LLMOps and regulatory/MRM trends

Bachelor’s or master’s degree in Statistics, Economics, Mathematics, or a related quantitative discipline
7+ years of hands-on analytics experience or 9+ years of relevant experience in lieu of a degree
Experience building and operationalizing agentic AI on AWS (AgentCore/Bedrock)
Proficiency with LangChain/LangGraph for RAG and agent orchestration (multi-step workflows, retries, human-in-the-loop)
7+ years of hands-on analytics experience using tools such as SQL, SAS, Python, Spark, Scala, and Hive
Proven experience managing a diverse, cross-functional team of analysts, data scientists, and data engineers
4+ years of team and project management experience
Strong working knowledge of Agile methodologies (e.g., Scrum, Kanban) and proficiency with Atlassian tools such as JIRA and Confluence
Ability to balance effective team leadership with hands-on contribution to critical project delivery.

best-in-class employee benefits and programs that cater to work-life integration and overall well-being
career advancement and upskilling opportunities

AVP, AI Modeling Platform

Key skills