AI Automation and Program Specialist

Great American Insurance Group•Lakeland, FL

2d•Hybrid

About The Position

Summit provides independent insurance agents and their clients with market-leading workers’ comp insurance and elite customer service. We’re growing and currently serve more than 7,000 independent agents and 31,000 policyholders across the South, Midwest, and Mid-Atlantic. Our strength comes from a single-minded focus on workers’ comp and a commitment to long-term customer relationships. Summit is who you turn to when you need a specialist who not only knows workers’ comp but also gets to know your business and your priorities. Our field team members are located in every state in which we operate. Summit is a member of the Great American Insurance Group where our highest goal is for all employees to feel included, respected, and empowered to perform at their best.

Requirements

Bachelor's degree in Business, Information Technology, Engineering, Computer Science, or a related field.
Generally, a minimum of 8 years of experience in program management, product operations, business analysis, transformation, AI, automation, technology delivery, or related roles.
Experience supporting AI, data, automation, or technology-driven initiatives required.
Demonstrated ability to help shape and support governance frameworks, operating cadences, intake processes, prioritization methodologies, and cross-functional decision forums.
Leads discovery, requirements definition, and business analysis activities for complex initiatives, translating business needs into well-defined, implementation-ready requirements and artifacts.
Strong experience creating and maintaining high-quality documentation, including business requirements, process flows, operating procedures, governance materials, decision records, and executive-ready communications.
Demonstrates strong judgment and decision-making skills, with the ability to operate effectively in ambiguity while balancing competing priorities and stakeholder interests.
Strong analytical, organizational, and project management skills, including the ability to gather and analyze information, manage risks and dependencies, track progress, and support successful delivery outcomes.
Excellent written and verbal communication skills with the ability to translate complex initiatives into clear, actionable updates for stakeholders and senior leadership.
Recognized as a trusted partner who effectively facilitates cross-functional collaboration, drives alignment, and helps scale enterprise programs through continuous improvement of processes and ways of working.

Responsibilities

Partner with IT, product, business, and shared service teams to surface, develop, track, and move AI initiatives from intake through adoption, ensuring alignment to enterprise priorities, governance expectations, and delivery objectives.
Help shape the operating model and ways-of-working standards for how AI initiatives move through the enterprise, establishing consistent processes, governance expectations, decision frameworks, and delivery practices.
Facilitate cross-functional alignment sessions across IT, business, engineering, architecture, and shared service partners to drive prioritization, resolve dependencies, enable decision-making, and maintain momentum across AI initiatives.
Continuously improve the operating model and ways of working to scale the AI program, identifying opportunities to increase consistency, transparency, efficiency, and effectiveness across participating teams and stakeholders.
Lead end-to-end discovery and requirements definition for AI and automation initiatives, ensuring clear problem framing, scope definition, assumptions, success measures, and alignment with enterprise objectives.
Own the creation and maintenance of high-quality documentation and implementation artifacts, including business requirements, user journeys, process flows, automation and AI runbooks, governance materials, and decision documentation.
Prepare decision-ready materials and provide portfolio-level visibility into initiative status, risks, dependencies, tradeoffs, and outcomes to support leadership reviews, governance activities, and executive decision-making.
Escalate risks, dependency conflicts, and stalled initiatives with actionable recommendations, while providing senior-level analysis and project support across AI workstreams to drive successful outcomes.