Vice President, Artificial Intelligence Research & Development

Trans Union's Artificial Intelligence Research & Development team advances Trans Union’s next-generation AI capabilities by combining classical AI methods, including planning, reasoning, optimization, and knowledge representation, with generative AI architectures. The team translates emerging research into scalable platforms and differentiated products across Trans Union’s data, analytics, and customer solutions.

This Vice President reports to the Senior Vice President, Artificial Intelligence Research & Development and works closely with leaders across Data Science, Engineering, Product, Solutions, and Innovation. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Define and execute the enterprise AI R&D strategy, integrating classical and generative AI into cohesive architectures that support differentiated business and customer outcomes. Lead the design and development of production-grade agentic systems, cognitive architectures, and planning-based AI frameworks for real-world decisioning. Advance hybrid AI systems that combine symbolic reasoning, statistical learning, large language models, and deterministic methods such as constraint satisfaction.

Build, lead, and scale a high-performing organization of applied scientists, machine learning engineers, and research engineers. Translate research in automated planning, knowledge graphs, reinforcement learning, optimization, and LLM orchestration into production-ready platforms and reusable components. Partner with Product, Engineering, Solutions, and business leaders to identify high-value use cases and embed AI capabilities into customer-facing products. Establish practices for AI experimentation, evaluation, reproducibility, and benchmarking, including performance measures for hybrid AI systems.

Develop reusable AI capabilities, including reasoning engines, orchestration layers, agent frameworks, and shared platform components. Build relationships with academia and industry to keep Trans Union connected to emerging AI research and talent. Embed responsible AI principles, including transparency, explainability, fairness, governance, and risk management, into autonomous and AI-enabled systems.

15+ years of progressive experience in Artificial Intelligence, Machine Learning, or related technical fields, including leadership of large-scale AI R&D organizations and delivery of measurable business impact. Demonstrated experience building and deploying AI-powered products that combine generative AI and classical AI techniques in production environments. Deep knowledge of hybrid AI system design and the trade-offs among symbolic, deterministic, probabilistic, and learning-based approaches.

Executive-level communication and cross-functional leadership experience, with the ability to influence senior leaders and guide complex AI systems from research through commercialization. PhD in Artificial Intelligence, Computer Science, or a related discipline with emphasis in classical AI, such as planning, search, logic, or knowledge representation, or equivalent advanced expertise gained through relevant research and industry experience.

Generative AI and LLM (Large Language Model) architectures, including agent orchestration and production deployment patterns. Classical AI methods, including automated planning and scheduling, search, logic, constraint satisfaction, and knowledge representation. Knowledge graphs, symbolic reasoning, and cognitive or agentic system architectures. Reinforcement learning,…