Senior Manager, AI & Data Science – Healthcare Analytics

Loblaw

Brampton

On-site

CAD 100,000 - 132,000

Full time

39 hours ago
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Job summary

Loblaw Technologies in Brampton is seeking an experienced Senior Manager – AI & Data Science to lead the Healthcare Data Product team to build and enhance patient-focused analytics initiatives.

You will collaborate with product, technology and business partners to translate healthcare challenges into scalable data science solutions and mentor a team of data scientists across end-to-end projects.

Qualifications

  • 4–5+ years of progressive experience in data science, AI, or analytics.
  • Strong Python proficiency with experience in ML/AI; exposure to Generative AI, LLMs, RAG, NLP.
  • Experience handling healthcare data (clinical, claims, pharmacy, population health) with strong data governance.
  • Ability to lead complex AI initiatives and mentor data scientists.
  • Bachelor’s or Master’s degree in a quantitative field or equivalent experience.

Responsibilities

  • Lead development and delivery of analytics, ML, and AI solutions for healthcare outcomes.
  • Partner with product, technology and business teams to translate challenges into data science solutions.
  • Drive end-to-end data science initiatives from problem definition to deployment and monitoring.
  • Provide technical leadership and mentorship to data scientists.
  • Communicate insights and business impact to senior stakeholders.

Skills

Python
Machine learning
AI
Generative AI
LLMs
RAG
NLP
Healthcare data
Mentorship
Stakeholder communication

Education

Bachelor’s or Master’s degree in Data Science/ CS/ AI/ Stats/ Math/ Engineering

Job description

Loblaw Technologies in Brampton is seeking an experienced Senior Manager – AI & Data Science to lead the Healthcare Data Product team to build and enhance patient-focused analytics initiatives.

You will collaborate with product, technology and business partners to translate healthcare challenges into scalable data science solutions and mentor a team of data scientists across end-to-end projects.

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