Todd Wolfe
Todd Wolfe
College Of Arts And Sciences
Department of Computational, Engineering and Mathematical Sciences
Adjunct Faculty
Remote
NA
twolf02@tamusa.edu
No CV Attached
Dr. Todd Wolfe
Dr. Todd Wolfe is an educator, technology executive, researcher, and practitioner with more than 20 years of higher-education teaching experience and 25 years of enterprise technology leadership. He has taught students across multiple universities in areas including artificial intelligence, data analytics, cybersecurity, cloud computing, software development, web technologies, database systems, and information systems.
At Texas A&M, Dr. Wolfe works with senior students in capstone education, helping learners connect academic concepts with the realities of designing, developing, and delivering technology solutions in professional environments. His teaching emphasizes applied learning, problem solving, technical communication, responsible technology use, and the connection between technology decisions and measurable business outcomes.
Dr. Wolfe earned a Doctor of Computer Science in Big Data Analytics from Colorado Technical University and an MBA in Management Information Systems from the University at Albany, SUNY.
Alongside his academic career, Dr. Wolfe has held senior technology leadership positions across the insurance, banking, healthcare, and consulting industries. Most recently, he served as Vice President/Director of Artificial Intelligence and Digital Development at Utica National Insurance Group, where he led enterprise AI strategy, digital development, AI governance, responsible-AI adoption, and modernization initiatives.
His work has included establishing enterprise AI governance and adoption frameworks, developing generative AI and retrieval-augmented generation solutions, implementing cloud and API architectures, advancing analytics and automation, and leading technology teams responsible for large-scale digital transformation. He has also led AI literacy and responsible-AI education initiatives reaching 500+ employees and developed governance processes supporting the safe adoption of emerging technologies within regulated organizations.
Dr. Wolfes academic and professional interests include artificial intelligence, responsible AI governance, generative AI, enterprise architecture, data analytics, digital transformation, cloud computing, software engineering, technology strategy, and the future of work. His current scholarly work explores practical operating models for responsible AI governance, human oversight, AI literacy, organizational adoption, and the impact of artificial intelligence on people and leadership.
Throughout his career, Dr. Wolfe has focused on a common goal across both industry and higher education: helping people understand complex technology, apply it responsibly, and turn technical capability into meaningful outcomes.
| Area | Accomplishment |
|---|---|
| Higher Education | More than 20 years of adjunct and university teaching experience across approximately 10 institutions. |
| Education | Doctor of Computer Science in Big Data Analytics, Colorado Technical University; 3.98 GPA. |
| Graduate Education | MBA in Management Information Systems, University at Albany, SUNY. |
| Texas A&M | Faculty involvement with senior capstone students, emphasizing applied technology development, project execution, and professional readiness. |
| Technology Leadership | More than 25 years of enterprise technology experience spanning insurance, banking, healthcare, consulting, architecture, development, and digital transformation. |
| Executive Leadership | Served as VP/Director of Artificial Intelligence and Digital Development at Utica National Insurance Group. |
| Artificial Intelligence | Defined and executed enterprise AI strategy, governance, investment priorities, adoption programs, and responsible-AI practices within a regulated organization. |
| AI Governance | Established enterprise governance processes for AI use-case intake, risk evaluation, human oversight, responsible use, and organizational adoption. |
| AI Education | Led AI literacy and responsible-AI education efforts reaching 500+ employees and developed programs to increase organizational AI fluency. |
| Generative AI | Led development and adoption of generative-AI capabilities including retrieval-augmented generation (RAG), enterprise knowledge solutions, AI-enabled workflows, and Azure-based cognitive services. |
| Business Impact | AI initiatives generated more than 2,000 hours of documented productivity gains in Q1 2026. |
| Software Delivery | Technology transformation efforts contributed to approximately 40% faster release cycles and a 25% reduction in change-failure rates. |
| Insurance Technology | Applied AI, automation, integration, and digital technologies to underwriting and insurance workflows, including initiatives associated with approximately 20% faster submission-to-bind cycles. |
| Enterprise Leadership | Led technology organizations and multidisciplinary teams of 50+ professionals and managed vendor portfolios exceeding $10 million. |
| Cloud & Architecture | Experience with AWS, Microsoft Azure, APIs, microservices, DevSecOps, cybersecurity, enterprise architecture, data platforms, and integration strategy. |
| Curriculum Development | Developed and taught university and professional curriculum in technology disciplines including AI, analytics, web development, software engineering, Power BI, Tableau, and information systems. |
| Research & Scholarship | Scholarly interests include responsible AI governance, enterprise AI risk, human oversight, workforce AI literacy, AI adoption, and technology-enabled organizational change. |
| Responsible AI Research | Developed the SCALE Operating Model for Responsible AI Governance, focused on translating AI principles into practical enterprise governance and operating practices. |
| Industry Practice | Works with organizations on AI strategy, technology assessment, enterprise integration, architecture, analytics, digital transformation, and fractional technology leadership. |
| Teaching Philosophy | Emphasizes applied learning and helping students connect technical concepts with real-world organizational, ethical, and business considerations. |