Principal, AI Product Management, TruIQ
$168.75k - $281.25kTrans Union LLC
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The Analytics Enablement team is a strategic product pillar within TransUnion's Credit Risk Solutions organization. The team helps customers derive greater value from TransUnion data through insights, analytics, modeling, decisioning, and AI-enabled solutions. The Principal, AI Product Management, TruIQ 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 to the team, influence without direct authority, and help Product, Engineering, and other partners responsibly integrate AI and agentic capabilities into existing and future solutions. This role reports to the VP, Product Management - Analytics & Insights and partners horizontally with Product Managers across the TruIQ portfolio. 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. Role Overview and Core Responsibilities
Principal, Product Management Company:
TransUnion LLC
The Analytics Enablement team is a strategic product pillar within TransUnion's Credit Risk Solutions organization. The team helps customers derive greater value from TransUnion data through insights, analytics, modeling, decisioning, and AI-enabled solutions. The Principal, AI Product Management, TruIQ 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 to the team, influence without direct authority, and help Product, Engineering, and other partners responsibly integrate AI and agentic capabilities into existing and future solutions. This role reports to the VP, Product Management - Analytics & Insights and partners horizontally with Product Managers across the TruIQ portfolio. 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. Role Overview and Core 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 effectively support AI, intelligent assistants, agentic workflows, and automation.
- Conduct voice-of-customer research and translate customer needs into clear product requirements, prioritized roadmaps, market positioning, and measurable outcomes.
- Write clear product requirements documents that define 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 informed product direction to Engineering by defining effective requirements, asking the appropriate technical questions, evaluating proposed approaches, and balancing technical feasibility with customer and commercial value.
- Establish product goals and evaluation frameworks spanning 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 within highly regulated and risk-sensitive environments.
- Mentor and upskill Product Managers and other cross-functional partners on AI product practices, emerging technologies, customer use cases, and responsible adoption.
- 10+ years of experience in product management, product strategy, analytics solutions, or a related discipline, including 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 that produced measurable customer and business outcomes.
- Strong customer orientation, with experience using voice-of-customer research, user insights, experimentation, market intelligence, and competitive analysis to translate customer needs into executable product strategies.
- Experience influencing technical and business partners without direct authority, including the ability to guide and appropriately challenge Engineering while building alignment across diverse stakeholders.
- Experience introducing technology in a highly regulated or governed environment and balancing innovation with security, compliance, customer trust, risk tolerance, and responsible adoption.
- Strong understanding of Generative AI, Agentic AI, ML (Machine Learning), LLMs (Large Language Models), RAG (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 approaches, including APIs (Application Programming Interfaces), 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.
- 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.
Principal, Product Management Company:
TransUnion LLC
Vacancy posted 2 days ago
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