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Product Manager, Data and Artificial Intelligence

Job in Sherbrooke, Province de Québec, J1X, Canada
Listing for: Industrial Alliance Insurance and Financial Services Inc
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis, Data Analyst, IT Business Analyst
  • Business
    AI Business & Operations, Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 97000 - 139000 CAD Yearly CAD 97000.00 139000.00 YEAR
Job Description & How to Apply Below
Product Manager, Data and Artificial Intelligence    Other Possible Location(s):  Toronto, Ontario;
Montreal, Quebec
Artificial intelligence is already transforming how organizations design services, make decisions, and create value. At iA, we are committed to making this transformation a tangible, responsible, and sustainable driver of value for our clients, advisors, employees, and business partners.
As a Product Manager, Data and Artificial Intelligence, you will play a key role in defining, prioritizing, and evolving a portfolio of solutions powered by data, advanced analytics, and artificial intelligence. You will help turn promising ideas into robust, secure, measurable products that are ready for production.
This position offers an exciting opportunity to showcase your skills and fully realize your potential within a caring and trusted organization. Here, people and their development are at the heart of everything we do, fostering an environment that encourages collaboration and innovation.
What You’ll Accomplish With Us  As a Product Manager, Data and Artificial Intelligence, you will be at the heart of our mission.

Key responsibilities include:

Define product vision, business objectives, target audiences, and value propositions for data and AI products.
Build, maintain, and communicate a product roadmap aligned with strategic priorities, expected value, risks, dependencies, and delivery capacity.
Translate business and user needs into problems to solve, value hypotheses, functional requirements, acceptance criteria, and clear user stories.
Prioritize the product backlog by balancing business value, technical feasibility, data quality, integration complexity, security, compliance, and user experience.
Lead discovery, experimentation, and validation activities, including proof of concepts, prototypes, pilot projects, user testing, A/B testing, and phased rollouts.
Collaborate closely with data, AI, engineering, architecture, cybersecurity, privacy, compliance, risk management, user experience, and business teams.
Define product success metrics, including adoption, usage, satisfaction, business value, operational performance, and, where appropriate, model performance measures.
Monitor solutions after deployment to measure benefits, identify issues related to quality, bias, drift, performance, or adoption, and prioritize continuous improvements.
Promote the responsible use of artificial intelligence by embedding principles of ethics, transparency, explainability, security, privacy, and data governance by design.
Prepare and communicate recommendations, trade-offs, progress updates, risks, and results to stakeholders at various levels, including leaders and governance committees.
Contribute to market intelligence efforts related to generative AI, intelligent agents, retrieval-augmented generation (RAG), automation, advanced analytics, and data platforms to identify new value-creation opportunities.
What Could Help You Thrive in This Role  We’re looking for someone who:
Is recognized for the ability to translate complex business needs into high-value data and AI products.
Stands out for strong business acumen, prioritization skills, and the ability to make data-driven decisions.
Demonstrates excellent ability to engage and influence both technical and non-technical stakeholders in a complex environment.
Is known for collaborative leadership, autonomy, rigor, and the ability to create alignment around shared objectives.
Has significant experience in product management, technology solution delivery, analytics, data, or artificial intelligence.
Possesses a solid understanding of data and AI concepts, including data governance, machine learning, generative AI, large language models (LLMs), intelligent…
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