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About the Role

The Artificial Intelligence Research & Development team advances TransUnion’s next-generation AI capabilities by combining classical AI methods with generative AI architectures. The team translates emerging research into scalable platforms and differentiated products across TransUnion’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.

Responsibilities

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 TransUnion 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.

Requirements

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.

Skills

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, mathematical optimization, statistical learning, and ML (Machine Learning) evaluation methods.
AI platform and engineering practices supporting scalable, reproducible, explainable, and governed production systems.
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.

Location

Hybrid

Work Type

Hybrid

Experience Level

15+ years of progressive experience in Artificial Intelligence, Machine Learning, or related technical fields
Leadership of large-scale AI R&D organizations
Delivery of measurable business impact
Executive-level communication and cross-functional leadership experience
Experience leading globally distributed technical teams and operating effectively at both strategic and hands-on levels

Education Level

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.

Salary/Compensations

$193,500.00 - $353,250.00 annually

Benefits

Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
Spousal, domestic partner, and other eligible dependent coverage is available on select plans.
Tax‑advantaged HSA and FSA accounts.
Company‑paid basic life and AD&D.
Optional voluntary life and AD&D for you and your family.
Short‑ and long‑term disability.
Optional legal plan, pet insurance, and travel accident coverage.
Adoption assistance and fertility planning coverage.
Caregiver support.
Dependent Care FSA for possibility of an employer match.
Complimentary Care@Work membership.
Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
401(k) with employer match.
Employee Stock Purchase Plan (ESPP).
Financial wellness resources.
Career coaching.
Optional long‑term care insurance.
Tuition reimbursement.
Flexible time off for exempt employees or paid time off for nonexempt employees.
Up to 12 paid holidays per year.
Commuter benefits.
Employee discounts.
Charitable gift matching.
Paid volunteer time off.
Corporate volunteer events.
24/7 support including professional therapy, coaching, and emotional well‑being programs.
Guided meditation and resources that support physical, mental, social, and financial wellness.

About the Company

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers.
We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way.
We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

Equal Opportunity

As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans.
Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.