Vice President, Artificial Intelligence Research & Development

TransUnion•New York, NY

2d•$193,500 - $353,250•Hybrid

About The Position

TransUnion’s Artificial Intelligence Research & Development team advances next-generation AI capabilities by combining classical AI methods—including planning, reasoning, optimization, and knowledge representation—with generative AI architectures. The team turns emerging research into scalable platforms and differentiated products across TransUnion’s data, analytics, and customer solutions. The 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 requiring work virtually and in person at an assigned TransUnion office for at least two days per week. The role sets and executes enterprise AI R&D strategy; leads the development of production-grade agentic systems, cognitive architectures, and planning-based AI frameworks; and advances hybrid systems combining symbolic reasoning, statistical learning, large language models, and deterministic methods. The Vice President builds and scales teams of applied scientists, machine learning engineers, and research engineers, and translates research into production-ready platforms and reusable AI capabilities. The role also partners with business and product leaders to identify use cases, establishes experimentation and evaluation practices, cultivates research relationships, and embeds responsible AI principles into autonomous and AI-enabled systems.

Requirements

15 or more 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 production AI-powered products that combine generative AI and classical AI techniques.
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, including influencing senior leaders and guiding 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.
Knowledge of generative AI and LLM architectures, including agent orchestration and production deployment patterns.
Knowledge of classical AI methods, including automated planning and scheduling, search, logic, constraint satisfaction, and knowledge representation.
Knowledge of knowledge graphs, symbolic reasoning, and cognitive or agentic system architectures.
Knowledge of reinforcement learning, mathematical optimization, statistical learning, and ML evaluation methods.
Knowledge of AI platform and engineering practices supporting scalable, reproducible, explainable, and governed production systems.

Nice To Haves

Experience creating reusable enterprise AI platforms, reasoning engines, orchestration layers, or agent frameworks.
Track record of converting advanced research into scalable, revenue-generating products or customer solutions.
Experience establishing external research partnerships with universities, laboratories, or industry consortia.
Familiarity with highly regulated data, analytics, financial services, credit, identity, fraud, or information-services environments.
Experience leading globally distributed technical teams and operating effectively at both strategic and hands-on levels.

Responsibilities

Define and execute enterprise AI R&D strategy, integrating classical and generative AI into architectures that support 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 an 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 connect TransUnion with emerging AI research and talent.
Embed transparency, explainability, fairness, governance, and risk management into autonomous and AI-enabled systems.

Benefits

Medical, dental, and vision coverage, with day-one eligibility and supplemental plan options.
Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
Company-paid basic life and AD&D insurance, optional voluntary life and AD&D, and short- and long-term disability coverage.
Optional legal plan, pet insurance, and travel accident coverage.
Adoption assistance, fertility planning coverage, caregiver support, Dependent Care FSA, and Care@Work membership.
Up to 12 weeks of paid parental leave with an eligible gradual return.
401(k) with employer match and Employee Stock Purchase Plan (ESPP).
Financial wellness resources and career coaching.
Tuition reimbursement.
Flexible time off for exempt employees or paid time off for nonexempt employees.
Up to 12 paid holidays per year.
Commuter benefits and employee discounts.
Charitable gift matching and paid volunteer time off, as well as corporate volunteer events.
24/7 access to professional therapy, coaching, emotional well-being programs, guided meditation, and physical, mental, social, and financial wellness resources.
Certain regular, full-time non-sales positions may be eligible for the annual bonus plan; certain positions may also be eligible for long-term incentives and other payments.