Principal, AI Product Management, TruIQ

TransUnion•Chicago, IL

3d•Hybrid

About The Position

The Analytics Enablement team is a strategic product pillar within TransUnion’s Credit Risk Solutions organization, helping customers derive value from TransUnion data through insights, analytics, modeling, decisioning, and AI-enabled solutions. The Principal, AI Product Management will define and drive the AI enablement strategy across the TruIQ portfolio. This hands-on, Director-level individual contributor will bring deep AI product expertise, influence without direct authority, and help Product, Engineering, and other partners responsibly integrate AI and agentic capabilities into existing and future solutions. The role reports to the VP, Product Management – Analytics & Insights and partners horizontally with Product Managers across the TruIQ portfolio. It is hybrid, with regular virtual work and in-person work at an assigned TransUnion office location at least two days per week. The successful candidate will establish the vision, strategy, roadmap, and commercialization plan for AI enablement across TruIQ Analytics Solutions; identify opportunities to enhance, redesign, or rebuild products for AI and automation; translate customer research into requirements and measurable outcomes; and partner with technical, governance, operational, and go-to-market teams from discovery through launch and ongoing optimization. The role also sets evaluation frameworks, validates AI-enabled capabilities with appropriate oversight and governance, builds customer confidence in regulated environments, and mentors Product Managers and cross-functional partners in AI product practices.

Requirements

10+ years of experience in product management, product strategy, analytics solutions, or a related discipline.
Established product-management experience defining product vision, roadmaps, requirements, and commercialization strategies.
Demonstrated experience developing, launching, integrating, or scaling AI-enabled, agentic, analytics, data, SaaS, or enterprise technology products with measurable customer and business outcomes.
Strong customer orientation and experience using voice-of-customer research, user insights, experimentation, market intelligence, and competitive analysis to turn customer needs into executable product strategies.
Experience influencing technical and business partners without direct authority, guiding and appropriately challenging Engineering, and building alignment across diverse stakeholders.
Experience introducing technology in a highly regulated or governed environment while balancing innovation with security, compliance, customer trust, risk tolerance, and responsible adoption.
Strong understanding of Generative AI, Agentic AI, machine learning, LLMs, RAG, workflow automation, AI evaluation, responsible AI, and enterprise software product development.
Experience defining requirements for AI-enabled products, including feedback loops, human-in-the-loop controls, guardrails, monitoring, evaluation approaches, and continuous improvement.
Ability to partner with technical teams on scalable integration and interoperability approaches, including APIs, semantic layers, knowledge graphs, Model Context Protocol, and agent-to-agent patterns where relevant.
Experience with Agile product management, experimentation, product commercialization, and delivery tools such as Jira and Confluence.
Proficiency with Microsoft Office applications for business analysis, product documentation, executive communication, and stakeholder presentations.

Nice To Haves

Knowledge of financial services, credit risk, lending, fraud, marketing, or decisioning markets; experience in another highly regulated industry, such as insurance or healthcare, may also support success.
Understanding of analytics and modeling workflows, including data management, model development, deployment, monitoring, and performance measurement.
Experience managing product financials and evaluating revenue, cost, margin, pricing, and investment tradeoffs.
Hands-on exposure to emerging AI models, conversational interfaces, intelligent assistants, automation tools, or coding assistants such as Microsoft Copilot, Gemini, Claude, or Claude Code.
Experience leading global, cross-functional initiatives and enabling Product Managers or business partners through training, playbooks, feedback loops, and change-management practices.

Responsibilities

Define the AI enablement vision, strategic direction, multi-year roadmap, and commercialization plan for TruIQ Analytics Solutions.
Identify where existing products should be enhanced, redesigned, or rebuilt to support AI, intelligent assistants, agentic workflows, and automation.
Conduct voice-of-customer research and translate customer needs into product requirements, prioritized roadmaps, market positioning, and measurable outcomes.
Write product requirements documents defining customer problems, proposed solutions, scope, requirements, tradeoffs, risks, governance needs, and success measures.
Partner with Engineering, Data Science, Architecture, Design, Security, Compliance, Data Governance, Operations, and go-to-market teams from discovery and prototyping through launch and optimization.
Provide product direction to Engineering by defining requirements, evaluating technical approaches, asking relevant technical questions, and balancing feasibility with customer and commercial value.
Establish product goals and evaluation frameworks covering adoption, customer value, productivity, cost efficiency, pricing, revenue potential, and responsible AI performance.
Test and validate AI-enabled capabilities while incorporating feedback loops, human oversight, guardrails, monitoring, and internal governance requirements.
Build customer confidence in AI-enabled capabilities, particularly in highly regulated and risk-sensitive environments.
Mentor and upskill Product Managers and cross-functional partners on AI product practices, emerging technologies, customer use cases, and responsible adoption.

Benefits

Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options and eligible dependent coverage on select plans.
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 with possibility of an employer match, and complimentary Care@Work membership.
Up to 12 weeks of paid parental leave with eligibility for a 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, plus corporate volunteer events.
24/7 access to professional therapy, coaching, emotional well-being programs, guided meditation, and physical, mental, social, and financial wellness resources.
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.