Job Description
Join a growing Advanced Analytics team focused on delivering machine learning and AI solutions that drive measurable business impact across loyalty, personalization, offer optimization, and decisioning.

This is a product ownership role, partnering closely with Data Science and Engineering teams to take analytics products from business problem through production deployment.

What You'll Do
• Own and prioritize the Advanced Analytics roadmap.
• Identify business opportunities for ML, AI, and analytics solutions.
• Translate business problems into product requirements.
• Partner with Data Scientists and ML Engineers to deliver solutions into production.
• Drive experimentation, model evaluation, and business outcome measurement.
• Manage stakeholder alignment across business and technical teams.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal chance/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status,



or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
• 4+ years of Product Management experience (or technical background with transition into Product).
• 2+ years experience owning ML, AI, Analytics, Personalization, Recommendation, Loyalty, Fraud, or Decisioning products.
• Proven track record delivering ML/AI solutions from business problem to production.
• Experience working directly with Data Scientists and ML Engineering teams.
• Strong ability to translate business challenges into product requirements and measurable outcomes.
• Familiarity with ML lifecycles, experimentation, model evaluation, and MLOps concepts.
• Working knowledge of SQL and Python.
• Excellent communication and stakeholder management skills. • Experience with GenAI products in production.
• Experience with loyalty, recommendation engines, offer optimization, or fraud models.
• Experience in QSR, Retail, eCommerce, Fin

Tech, SaaS, or consumer technology.

📌 Product Manager, ML & Advanced Analytics (Toronto)
🏢 Insight Global
📍 Toronto