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Delivery Manager – Personalization and Marketing

Job in Toronto, Ontario, C6A, Canada
Listing for: Sobeys
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Ready to Transform Retail? Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers where your unique contributions drive success.

Delivery Manager – Personalization and Marketing

Location:

Sobeys COLAB Office (Toronto Downtown)

Team:
Advanced Analytics

Sobeys is full of exciting opportunities, and we are always looking for bright new talent to join our team! We currently have an full time opportunity for a Delivery Manager – Personalization and Marketing to join the Advanced Analytics team. This role is based out of our office in Richmond Street, Toronto.

Overview

The Advanced Analytics team at Sobeys is on the front lines of retail innovation. We are a multidisciplinary group of data scientists, engineers, product managers, and analysts who design, develop, and deliver high-impact, scalable AI/ML solutions that are transforming how Sobeys and its family of banners engage customers and operate the business. We leverage cutting‑edge cloud technologies and advanced analytical techniques to connect the dots between customer behavior and business operations, revealing the true drivers of customer engagement, sales growth, and profitability.

Our work directly reaches millions of Canadian consumers and is a key pillar in Sobeys’ mission to become the #1 retail brand in Canada.

As the Delivery Manager – Personalization and Marketing, you will play a critical leadership role in ensuring the successful delivery of a broad portfolio of advanced analytics initiatives. You will coordinate cross‑functional teams, streamline project execution, and act as the linchpin between technical teams and business stakeholders to translate ambitious ideas into tangible results. This role requires a strategic mindset, a passion for driving complex projects to completion, and exceptional communication skills to navigate both technical conversations and executive updates.

What

You’ll Get To Do In This Role

As a Delivery Manager in Personalization and Marketing, you will lead the end‑to‑end delivery of multiple Advanced Analytics and AI/ML initiatives—overseeing planning, execution, stakeholder alignment, and seamless deployment across projects such as Personalization, Agentic AI Marketing use cases, Marketing Mixture Optimization, Churn, Measurement activities, and etc. You will act as the central coordination hub for Data Science, business teams, Enterprise Data & Technology, and external partners, ensuring clear communication, strong agile execution, proactive risk and issue management, and timely progress against milestones.

  • Lead End‑To‑End Project Delivery:
    Oversee the requirement gathering, planning, execution, and delivery of multiple advanced analytics and AI/ML projects from inception to deployment and sustainment. Ensure that projects meet business objectives and are delivered on time and within scope. This includes diverse initiatives such as one‑to‑one personalization program, Agentic AI Use Cases, Retail Media Measurement, Marketing Mix Modeling, Churn, Personalized Pricing, and other key Advanced Analytics programs.
  • Cross‑Functional Coordination:
    Serve as the primary liaison between Data Science teams, business units, Enterprise Data & Technology, external partners, and other stakeholders. Facilitate collaboration and clear communication across these groups to align on project goals, requirements, and deliverables.
  • Project Management & Agile Leadership:
    Establish and manage project plans, agile ceremonies (daily stand‑ups, sprint planning, reviews, and retrospectives), and governance forums (including steering committees and status update meetings). Proactively track timelines, milestones, and dependencies, and adjust plans as needed to keep multiple projects on track.
  • Stakeholder Engagement & Communication:
    Engage with senior business stakeholders and Advanced Analytics leadership to gather requirements, provide regular progress updates, and manage expectations. Prepare and deliver executive‑ready project status reports and presentations that highlight achievements, upcoming milestones, risks, and mitigation plans.
  • Risk Management & Issue Resolution:
    Anticipate, identify, and resolve…
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