Product Manager – Data Science & Customer Intelligence

100% remote job. Toronto candidates are preferred, but candidates across Canada will be considered.

We are looking for an experienced Data Product Manager to lead data science, machine learning, and customer intelligence products within a large enterprise environment.

This is a Product Management role, not a hands-on coding position. The ideal candidate understands how ML/data science models work and can partner effectively with Data Scientists, ML Engineers, Data Engineers, Analytics teams, and business stakeholders.

Key Responsibilities

• Own product strategy, roadmap, prioritization, requirements, and delivery for data science and customer intelligence products.
• Partner with Data Scientists and ML Engineers to develop and operationalize predictive models.
• Translate business needs into scalable data products and actionable intelligence.
• Support use cases such as customer retention, renewal propensity, customer health, recommendations, scoring, and seller insights.
• Work across Customer 360, Customer Data, MDM, governance, analytics, and BI.
• Drive stakeholder alignment, backlog management, acceptance criteria, and release readiness.
• Support AI- and agentic-enabled data experiences.

Top Requirements

• Strong Product Manager / Data Product Manager experience.
• Experience product-managing Data Science, Machine Learning, predictive analytics, or ML-driven products.
• Background in BI, analytics, dashboards, and enterprise data.
• Experience with Customer 360, Customer Data, MDM, or customer intelligence.
• Strong stakeholder management and ability to work closely with technical teams.
• Exposure to recommendation, retention, churn, propensity, customer health, or seller-intelligence use cases is highly preferred.

Nice to Have

• Salesforce or seller-facing intelligence platforms.
• Agentic AI or AI-enabled product experience.
• Experience in large global organizations or consulting environments.

Candidates do not need to code, but should be comfortable discussing data science and ML models from a Product Management perspective.