Principal Technical Product Manager, AI Evaluations and Governance

Rbc — Canada · Posted ~3 hours ago

Lead

Skills

AI product strategy AI evaluation AI governance agentic AI risk management compliance stakeholder management AI

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Summary ✨ AI‑Generated

A principal-level technical product leader is sought to own strategy for AI evaluation and governance capabilities. You will shape how AI systems are assessed for quality and safety, translate results into risk and compliance reporting, and work closely with engineering, risk, and compliance stakeholders in a rapidly evolving technical and regulatory environment.

Highlights

High-impact product leadership role focused on responsible AI, evaluation quality, safety, governance, risk, and compliance. Offers strategic ownership of an important enterprise AI capability and close collaboration with technical and risk leaders.

Description

Job Description What is the opportunity? Deploying AI at scale in Canada's largest bank is the opportunity of a lifetime. This role focuses on one of the most critical enablers of AI at RBC, connecting deep evaluation of agents' performance and accuracy with the risk-based governance that allows AI to be enabled for safe use. Own product strategy for the evaluations and governance capabilities that let the bank build and scale agentic AI responsibly — the layer that assesses AI system quality and safety before and after deployment, and turns those assessments into risk and compliance reporting that business leaders across the bank can act on. This is the single accountable product leader for a capability area that sits at the center of how the bank governs its growing AI footprint, partnering closely with engineering leadership, risk, and compliance stakeholders to keep pace with an area that's evolving quickly both technically and regulatorily. What will you do? Product Strategy & Roadmap Own end-to-end product strategy and a multi-year roadmap for the evaluations and governance capability area, prioritized against business risk, regulatory need, and platform adoptionLead discovery and requirements definition, translating input from engineering, risk, compliance, and business stakeholders into clear product requirementsOwn portfolio-level prioritization and sequencing across the capability area's roadmap, balancing near-term regulatory/compliance needs against longer-term platform investmentEvaluate build-vs-buy-vs-partner options for evaluation and governance tooling, weighing internal investment against third-party solutions Delivery Partnership Partner with engineering and architecture leadership on feasibility, sequencing, and trade-offs, converging on a plan both sides can commit toWork with the project-management function to convert prioritized requirements into a funded, scheduled program of workStay engaged through delivery, resolving product-scope questions and re-planning trade-offs as they arise Stakeholder & Business Engagement Represent the capability area to risk, audit, and compliance stakeholders across the bank's business linesServe as the primary product voice to senior leadership on the health and trajectory of the capability areaRepresent product considerations within architecture reviews, governance forums, and vendor evaluationsPartner with adjacent product and engineering leaders across the platform so requirements are considered early, not retrofitted later Launch & Value Input Help define value messaging and target user personas for the capability area's launches, in partnership with your peer Principal for go-to-marketDefine and track success metrics for the capability area and use them to inform ongoing prioritizationContribute the capability area's inputs into the broader business case articulating value delivered People Leadership Build, mentor, and lead a team of product managers focused on evaluations and governance, giving them ownership of their individual areasHelp your team apply consistent discovery, prioritization, and delivery practices as they build out their own areasFoster a culture of iterative delivery, understanding of user needs, and decision-making backed by data What do you need to succeed? Must-have: 10+ years of product management experience, including several years focused on risk, compliance, safety, or governance-oriented technology products or servicesDemonstrated experience delivering production AI/ML systems in an enterprise environment, including hands-on experience with LLM API integration (e.g., Anthropic Claude, OpenAI, Azure OpenAI, or equivalent) and direct ownership of how those systems are tested, evaluated, or monitored for quality and riskExperience operating in a regulated industry (e.g., financial services, healthcare, government) with direct exposure to audit and regulatory review processesStrong technical foundation — able to engage credibly with engineers and architects on system design, API integration patterns (authentication, rate limiting, observability), data pipelines, and vector database/retrieval-augmented generation (RAG) architecture as it relates to evaluating AI system outputsExcellent communication skills, with proven ability to represent a complex technical and risk-related agenda credibly to both senior executives and engineering teamsUniversity degree in a technical field (Computer Science, Engineering, or related), or equivalent experience Nice-to-have: Experience leading and developing other product managers, or a track record of stepping into a people-leadership role from an individual-contributor/lead-level product positionDemonstrated experience building products that convert regulatory or audit requirements into automated processes or toolingExperience defining shared interfaces or working agreements between two or more engineering teams building interdependent systemsPrior experience specifically with AI safety, model risk management, or automated evaluation of AI/ML systems, rather than general software QA/complianceExperience with observability or monitoring platforms for distributed or ML-based systemsFamiliarity with AI-specific financial-services regulatory and risk-management frameworks (e.g., OSFI Guideline E-23, NIST AI RMF, SR 26-2, ISO/IEC 42001) — familiarity with the direction these are heading is more relevant than hands-on implementation experience, since several (e.g., OSFI E-23) are not yet in force Experience standing up a net-new function inside a scaling organization, rather than in a steady-state team What's in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesFlexible work/life balance optionsOpportunities to do challenging work About The AI Group RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request. #TechPJ Job Skills Communication, Critical Thinking, Effectiveness Measurement, Financial Regulation, Interpersonal Relationship Management, Long Term Planning, Product Development Lifecycle, Product Development Methodology, Product Services, Results-Oriented, Waterfall Model Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: Job Type: Regular Pay Type: Salaried Posted Date: 2026-09-08 Application Deadline: 2026-09-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.