Agentic AI Lead

Location: For Those Who Work At Home, Ohio The Agentic AI Lead is responsible for identifying, designing, and deploying AI-powered agents that transform business workflows across the bank. This role sits at the intersection of business, technology, and risk-owning the end-to-end lifecycle of agent-driven use cases, from opportunity identification through production deployment and adoption. The Agentic AI Lead partners closely with Product, Engineering, Risk, and Business leaders to embed AI agents into core processes (e.g., client onboarding, underwriting, sales enablement), driving measurable improvements in productivity, cycle time, and client experience. Key Responsibilities 1. AI Use Case Identification & Strategy - Identify and prioritize high-impact workflows for agentic AI automation across business domains (e.g., Commercial Banking, Credit, Operations) - Define clear value cases (efficiency, revenue lift, risk reduction) - Build and manage the AI agent roadmap aligned with domain strategy 2. Agent Design & Workflow Transformation - Design AI agents and multi-agent systems to automate and augment business processes - Define agent behaviors, decision logic, and escalation pathways (human-in-the-loop) - Reimagine workflows to maximize autonomy while maintaining appropriate controls - Partner with business leaders to redesign operating models around AI capabilities 3. Cross-Functional Delivery Leadership - Collaborate with AI Engineering, Data Science, and Product teams to translate use cases into technical solutions - Ensure alignment between business requirements and technical implementation - Guide prompt design, tool orchestration, and agent interaction models 4. Risk, Governance & Controls - Define and implement guardrails for AI agents (accuracy thresholds, explainability, bias mitigation) - Partner with Model Risk Management, Compliance, and Legal to ensure adherence to regulatory standards - Establish human oversight models, auditability, and fallback procedures for AI-driven actions 5. Deployment, Adoption & Change Management - Partner with Change Management Lead on providing advise/consultation on pilot programs and ways to scale adoption across the business - Partner with domain team to drive behavior change to ensure effective integration of AI agents into daily workflows 6. Performance Measurement & Continuous Improvement - Track and report on key success metrics: - Productivity gains - Cycle time reduction - User adoption and satisfaction - Output quality and accuracy - Continuously refine agents based on feedback, data, and evolving business needs Required Qualifications Experience - 8-12+ years experience in banking, consulting, product, or digital transformation roles - Experience leading cross-functional initiatives involving business and technology teams - Demonstrated track record and experience with AI/ML, GenAI, or automation technologies, preferably in enterprise settings Required Qualifications Experience - 8-12+ years experience in banking, consulting, product, or digital transformation roles - Experience leading cross-functional initiatives involving business and technology teams - Demonstrated track record and experience with AI/ML, GenAI, or automation technologies, preferably in enterprise settings Preferred Qualifications <