Lead Data Scientist developing AML transaction - monitoring models for RBC, a major Canadian bank. Applying machine learning, rules, and analytics to identify financial crime risk.
IA
Product Manager, Data and Artificial Intelligence
Posted 8 hours ago
About the role
- Product Manager defining and scaling responsible data and AI products at iA Financial Group. Driving roadmaps, experimentation, governance, and cross-functional delivery.
Responsibilities
- Define product vision, business objectives, target audiences, and value propositions for data and AI products
- Build, maintain, and communicate product roadmaps 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 user stories
- Prioritize product backlogs by balancing business value, technical feasibility, data quality, integration complexity, security, compliance, and user experience
- Lead discovery, experimentation, and validation activities, including proofs of concept, prototypes, pilot projects, user testing, A/B testing, and phased rollouts
- Collaborate with data, AI, engineering, architecture, cybersecurity, privacy, compliance, risk management, user experience, and business teams
- Define product success metrics covering adoption, usage, satisfaction, business value, operational performance, and model performance where appropriate
- Monitor deployed solutions for quality, bias, drift, performance, and adoption issues, and prioritize continuous improvements
- Promote responsible AI through ethics, transparency, explainability, security, privacy, and data governance by design
- Prepare and communicate recommendations, trade-offs, progress updates, risks, and results to stakeholders, leaders, and governance committees
- Contribute to market intelligence efforts involving generative AI, intelligent agents, RAG, automation, advanced analytics, and data platforms
Requirements
- Significant experience in product management, technology solution delivery, analytics, data, or artificial intelligence
- Solid understanding of data governance, machine learning, generative AI, large language models (LLMs), intelligent agents, and responsible AI practices
- Strong awareness of security, privacy, ethics, regulatory compliance, and risk management considerations
- Experience collaborating with multidisciplinary teams in an Agile or hybrid environment
- University degree in Business Administration, Computer Science, Software Engineering, Data Science, Analytics, Information Systems, Finance, or another relevant discipline
- Advanced English proficiency
- Ability to translate complex business needs into high-value data and AI products
- Strong business acumen and prioritization skills
- Ability to make data-driven decisions
- Ability to engage and influence technical and non-technical stakeholders
- Collaborative leadership, autonomy, rigor, and ability to create alignment around shared objectives
Benefits
- Flexible group insurance plan
- Competitive pension plan
- Employee share purchase plan
- Vacation program, wellness days, and personal development days
- Telemedicine services
- Employee and Family Assistance Program (EFAP)
- Ergonomic equipment program
- Performance bonus
- Discounts on iA products
- Flexible hybrid work environment
- Learning and development opportunities
- Healthy, safe, equitable, and inclusive workplace
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist building predictive weather models and commercial data products for Pelmorex, a weather intelligence company. Developing scalable machine learning solutions for B2B forecasting, advertising, and enterprise decision - making.
Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically backed natural bone - loss solution. Turning large datasets into strategies that improve efficiency, sales, and profitability.
Senior Data Scientist building real - time courier pay and dynamic pricing models for Just Eat Takeaway.com. Optimizing marketplace efficiency and earnings fairness through machine learning and experimentation.
Staff Data Scientist advancing Reddit’s ads measurement, identity, and privacy intelligence. Designing experimentation, identity - resolution, and predictive - modeling methodologies for advertisers.
Data Scientist building production ML, NLP, and GenAI solutions for Irth’s critical - infrastructure SaaS platform. Developing Databricks pipelines and maintainable software for damage prevention and asset integrity.
Junior data scientist supporting derivatives, VaR, stress testing, and regulatory risk models at Desjardins. Implementing methodologies and risk - system products in a hybrid Montréal role.
Evaluating data science and quantitative AI outputs for Gramian Consultancy, an IT professional services and engineering talent consultancy. Creating prompts, datasets, and feedback to improve AI models.
Data Scientist structuring medical knowledge and evaluating AI - driven educational products for Lecturio, a global medical and nursing e - learning platform. Developing statistical validation frameworks and Knowledge Graph API integrations.
Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.