Principal, AI Product Management, TruIQ

TransUnion•Ridley Park, PA

4d•$168,750 - $281,250•Hybrid

About The Position

The Principal, AI Product Management, TruIQ will define and drive AI enablement strategy across the TruIQ portfolio within TransUnion’s Credit Risk Solutions organization. The role is a hands-on, Director-level individual contributor who brings deep AI product expertise and influences without direct authority. It helps Product, Engineering, and other partners responsibly integrate AI and agentic capabilities into existing and future solutions. The position defines the AI enablement vision, strategic direction, multi-year roadmap, and commercialization plan for TruIQ Analytics Solutions. It identifies opportunities to enhance, redesign, or rebuild products for AI, intelligent assistants, agentic workflows, and automation; gathers customer insights; and translates customer needs into requirements, roadmaps, market positioning, and measurable outcomes. The role partners with technical, governance, operational, and go-to-market teams from discovery and prototyping through launch and optimization, while setting product goals and evaluation frameworks for customer value, adoption, productivity, cost efficiency, pricing, revenue, and responsible AI performance. The Principal tests and validates AI-enabled capabilities with feedback loops, human oversight, guardrails, monitoring, and governance requirements, and builds customer confidence in AI in regulated and risk-sensitive environments. The role also mentors and upskills Product Managers and cross-functional partners in AI product practices and responsible adoption. It reports to the VP, Product Management – Analytics & Insights and partners horizontally with Product Managers across TruIQ. This is a hybrid position requiring work virtually and in person at an assigned TransUnion office for a minimum of two days per week.

Requirements

10 or more years of experience in product management, product strategy, analytics solutions, or a related discipline, including 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 develop 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 highly regulated or governed environments while balancing innovation with security, compliance, customer trust, risk tolerance, and responsible adoption.
Strong understanding of Generative AI, Agentic AI, machine learning, large language models, retrieval-augmented generation, 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, 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 other 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 covering 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 ongoing optimization.
Provide product direction to Engineering by defining requirements, asking technical questions, evaluating approaches, and balancing technical feasibility with customer and commercial value.
Establish product goals and evaluation frameworks for adoption, customer value, productivity, cost efficiency, pricing, revenue potential, and responsible AI performance.
Test and validate AI-enabled capabilities, incorporating feedback loops, human oversight, guardrails, monitoring, and internal governance requirements.
Build customer confidence in AI-enabled capabilities, particularly in 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

Medical, dental, and vision coverage with day-one eligibility, plus supplemental plan options.
Tax-advantaged HSA and FSA accounts.
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, and Dependent Care FSA with possibility of an employer match.
Complimentary Care@Work membership and up to 12 weeks of paid parental leave, with eligibility for a gradual return.
401(k) with employer match and Employee Stock Purchase Plan.
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 resources for physical, mental, social, and financial wellness.
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.