HR Virtual Agent Product Owner - HR Generative AI team - Director (Hybrid)

Morgan Stanley•Montreal, QC

6d•Hybrid

About The Position

We’re seeking someone to join our HR Generative AI team as a Product Owner, where you will define and deliver product capabilities for the AskHR Virtual Agent, improving how employees access accurate HR answers and complete tasks through a seamless AI powered experience. In Human Resources, we support the firm’s workforce through people insights, effective service delivery, and practical tools for employees and managers. A core part of this work is the AskHR Virtual Agent, the frontline entry point for HR support, providing fast and consistent access to information and assistance. This role sits within HR Data & Intelligence, which enables better workforce decisions by turning data into trusted insight and delivering reporting, platforms, and AI supported capabilities that support people operations and self-service across HR and the business. You’ll join a team with a clear mandate, substantive work and no shortage of complex problems to solve. We work at the intersection of business need, product thinking and execution, and we value analytical thinking, innovative but practical solutions, and the ability to move comfortably between strategy, detail and delivery. We set a high bar. For the right person, this role offers the opportunity to take ownership, partner thoughtfully across organizational and geographic boundaries, and contribute to work that is visible, durable and global in reach. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

Requirements

At least 4 years' relevant experience in a product-centric environment or experience as a Product Owner or equivalent role.
Ability to translate business needs into clear, actionable backlog items, with well-defined behaviors, rules, and user experience expectations.
Comfort with Agile practices and the ability to balance near-term needs with longer-term product evolution.
Demonstrated ability to collaborate across global, cross-functional teams to resolve priorities, manage trade-offs and drive delivery.
Data-driven product mindset, including defining success metrics and using dashboards/analytics to spot trends, prioritize improvements, and measure impact.
Clear written and verbal communication, including the ability to explain complex concepts in practical, accessible terms.
Knowledge of French and English is required.

Nice To Haves

Background in delivering AI-enabled features, complex workflow automation, or large-scale enterprise solutions.
Familiarity with HR service delivery processes, and HR platforms such as Workday or similar enterprise systems, and/or tools for building conversational and AI-enabled experiences (e.g., Microsoft Copilot Studio or similar) preferred.

Responsibilities

Define and manage the product backlog, ensuring work reflects business needs, user feedback, and the evolution of the AskHR Virtual Agent.
Translate requirements into clear user stories and acceptance criteria, including the data, workflow, and AI driven interactions required for a reliable employee experience.
Partner with HR Service Delivery, Engineering, and cross-functional stakeholders to shape scope, align dependencies and guide delivery plans.
Oversee iterative delivery of core features, including retrieval-augmented generation (RAG), structured intake flows, process automation and data-driven services to improve accuracy, routing and employee self-service.
Leverage usage data, quality signals, and feedback to refine product features, enhance personalization, and identify opportunities for proactive agent driven automation.
Support release planning and readiness activities, maintaining stakeholder alignment on product progress and ensuring updates adhere to content governance, data quality, and responsible use expectations for AI-driven capabilities.