Senior AI Product Manager

This role is Hybrid, 3 days a week on-site at the Northbrook or Chicago, IL Office.As a Sr. AI Product Manager for UL's Testing, Inspection and Certification team you will own the discovery, strategy, and lifecycle of high-impact AI products, identifying and prioritizing use cases that deliver measurable business value while ensuring AI is the right solution. Lead initiatives end to end from problem definition and data readiness through prototyping, human-in-the-loop deployment, and scaled adoption, with clear success metrics and benefits realization. Act as a steward of Responsible AI, partnering across business, technology, and governance teams to deliver trusted, compliant, and outcome-driven AI solutions at scale.AI Opportunity Discovery & Business Value DefinitionProactively identify and prioritize high-impact AI use cases that address material business friction across UL Solutions service lines, labs, and COUs.Lead structured problem definition and intake, validating that AI is the appropriate solution versus simpler automation, process redesign, or system changes.Define clear success metrics upfront (e.g., cycle time reduction, throughput, cost savings, quality improvement), ensuring each initiative has a quantified value hypothesis.AI Product Strategy & Lifecycle OwnershipOwn the AI product roadmap for TIC, guiding initiatives from discovery and proof-of-concept through production deployment and scale.Partner with IT and technology teams to translate business needs into clear product and technical requirements, while remaining accountable for outcomes rather than outputs.Partner and support to conduct Build vs. Buy analysis to determine the most effective path to value, balancing speed, cost, risk, and strategic differentiation.Data Readiness & Feasibility StewardshipEnsure data feasibility before solution build by validating data availability, quality, accessibility, labeling readiness, and privacy considerations.Work with domain experts and data teams to establish data standards and labeling approaches needed for supervised and generative AI solutions.Identify and elevate data, privacy, or compliance risks early to avoid downstream delays.Prototyping, Validation & Human-in-the-Loop DeploymentDrive rapid prototyping approaches (e.g., PoCs, prompt-based pilots, etc.) to validate user experience and value before heavy investment.Ensure output quality, accuracy, and trust are validated early, not just at deployment.Design and implement Human-in-the-Loop (HITL) workflows that balance automation with human oversight, particularly in regulated or safety-critical environments.Champion the change management for rapid adoption.Benefits Realization & AdoptionOwn benefits realization, tracking whether AI solutions actually deliver expected productivity, cost, quality, and customer-experience improvements.Partner with business leaders to drive process redesign, SOP updates, role changes, training needs, and KPI evolution required to fully capture AI value.Establish feedback loops so user insights and performance data continuously improve both the AI solution and the underlying process.Governance, Ethics & Responsible AIAct as a business steward of Responsible AI, ensuring transparency, explainability, bias monitoring, and compliance with data privacy and industry regulations.Ensure users understand when and how AI is used, and that AI outputs are appropriate for their decision-making context.Partner with enterprise governance bodies to embed AI solutions safely and responsibly at scale.Bachelor's degree in Engineering, Computer Science, Data Science, Business, or equivalent experience required.BA or executive education in AI strategy, digital transformation, or product leadership strongly preferred.8–12+ years of experience in product management, business transformation, process optimization, digital, or technology enabled operations, with increasing scope and leadership responsibility.Demonstrated experience leading complex, cross functional initiatives delivering measurable business outcomes.Strong working knowledge of AI concepts (e.g., generative AI, ML, LLMs) sufficient to engage deeply with technical teams on data pipelines, APIs, model performance, and limitations—without needing to be a data scientist.Proven ability to move beyond "interesting technology" to focus relentlessly on ROI, productivity gains, cost reduction, and operational effectiveness.Experience in process mapping, streamlining, and redesign, using technology as an enabler of broader operational transformation.Exceptional stakeholder management skills, with the ability to influence senior business leaders, IT, and technical teams without direct authority.Total RewardsWe understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $130,000 to $190,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).LI-SG2LI-HybridUL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.J-18808-Ljbffr