Lead delivery of RPA and workflow automation initiatives across core operational areas, including service, onboarding, and back-office
Translate operational problems into scalable automation and process redesign solutions
Prioritize and sequence work based on business impact, technical readiness, and team capacity
Implement RPA solutions using platforms such as UiPath, Automation Anywhere, Blue Prism, or equivalent tools
Guide design and refinement of LLM-assisted and AI-enabled workflows with appropriate controls and governance
Partner with process owners to identify automation-ready processes and design exception-only workflows
Use AI-assisted development tools and modern build workflows to help scale automation delivery, accelerate prototyping, and improve development throughput
Stay closely engaged through design, build, testing, deployment, and production optimization
Track and report on automation outcomes, including cycle time reduction, capacity released, error prevention, and quality improvement
Partner across Operations, Technology, Data, and Risk to ensure solutions are effective, sustainable, and compliant
Identify and prioritize deeper automation opportunities based on performance data and operational signals
Lead and develop high-performing teams with a strong execution mindset and commitment to delivering real results

Proven experience delivering RPA solutions into production using platforms such as UiPath, Automation Anywhere, or equivalent tools
Demonstrated experience implementing AI-enabled operational workflows, including LLM-assisted use cases with appropriate controls
Translates complex operational problems into executable automation and process redesign solutions
Leads teams responsible for delivering automation and process change end-to-end—not just designing it
A track record of measuring and communicating automation outcomes, including cycle time reduction, capacity release, error prevention, and quality improvement
Comfort operating in ambiguity while maintaining delivery momentum and stakeholder confidence
Strong analytical, communication, and stakeholder management skills, with experience presenting outcomes to senior leadership
Experience working cross-functionally across operations, technology, data, and risk/compliance teams
A minimum of a high school diploma or equivalent
A minimum of 10 years of experience
Owns and manages relationships with stakeholders directly and works effectively with people at all levels in an organization

Director – Intelligent Automation, AI Operations

Key skills