Director of AI & Automation
About the role
The Director of AI & Automation is a transformative technology leader responsible for shaping, implementing, and scaling GT’s enterprise-wide AI, automation, and intelligent workflow strategy.
Key Responsibilities
Develop and execute GT’s enterprise AI and automation strategy to support scalable growth and operational excellence.
Identify high-value AI use cases across the business (e.g., document processing, claims automation, predictive analytics, RPA, intelligent routing, chatbots, and compliance automation).
Build and manage a roadmap that accelerates automation adoption across the organization.
Lead cross-functional automation initiatives using RPA, workflow orchestration, ML models, and intelligent document processing.
Partner with Operations, Enrollment, Customer Support, Payroll, and Compliance to re-engineer processes and improve throughput, accuracy, and user experience.
Drive cloud-based AI enablement in collaboration with Infrastructure, Data, and Security teams.
Collaborate with Data & Analytics teams to leverage GT’s data for forecasting, anomaly detection, and insight generation.
Develop models that support predictive staffing, operational load forecasting, fraud detection, and state-level program insights.
Ensure data quality, lineage, and integrity within AI-powered processes.
Establish an AI governance framework to ensure responsible, compliant, and transparent use of AI technologies.
Partner with Legal, Security, and Compliance to align AI initiatives with HIPAA, state Medicaid requirements, SOC2 standards, and data privacy regulations.
Monitor emerging regulations and best practices to protect GT and its participants.
Lead a cross-functional AI & Automation team—including automation engineers, data specialists, and vendor partners.
Serve as a strategic advisor to executive leadership on AI trends, risks, and opportunities.
Communicate technology initiatives in a clear, compelling manner to stakeholders at all levels.
Evaluate and manage AI platforms, automation tools, and strategic technology partners.
Leverage enterprise platforms (e.g., Azure AI, Microsoft Copilot, RPA suites, intelligent OCR tools) to scale repeatable, secure, high-value solutions.
Ensure value realization, efficiency gains, and measurable outcomes from vendor relationships.
Qualifications
7-10+ years of experience leading AI, automation, machine learning, or intelligent workflow initiatives.
Proven success delivering complex automation and AI solutions in a production environment.
Strong understanding of RPA, NLP, machine learning, intelligent document processing, and enterprise automation technologies.
Experience leading cross-functional technology teams and managing large-scale digital transformation initiatives.
Ability to translate business problems into AI-powered solutions.
Excellent communication skills with the ability to influence non-technical and executive audiences.
Preferred Experience
In healthcare, Medicaid, FMS, government programs, or similarly regulated industries.
Familiarity with HIPAA, SOC2, state compliance standards, and secure data-handling practices.
Experience building AI governance frameworks or ethical AI policies.