Delivery Manager – Personalization and Marketing (7 months contract)

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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 a 7-month contract opportunity for a Delivery Manager – Personalization and Marketing to join the Advanced Analytics team, covering a parental leave beginning November 30. This role is based out of our office on Richmond Street in Toronto.
Overview
The Advanced Analytics team at Sobeys is on the frontlines 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 behaviour 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 Mix Optimization, Churn, and Measurement activities. 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.
You will shape the vision of leadership through technical and project oversight, mentorship, and continuous improvement of delivery processes, enabling the organization to scale analytics capabilities efficiently while maintaining high-quality project outcomes.

Lead End-to-End Project Delivery: Oversee requirement gathering, planning, execution, and delivery of multiple advanced analytics and AI/ML projects from inception to deployment and sustainment. Ensure projects meet business objectives and are delivered on time and within scope. This includes initiatives such as the 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 including daily stand-ups, sprint planning, reviews, and retrospectives, as well as 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 highlighting achievements, upcoming milestones, risks, and mitigation plans.

Risk Management & Issue Resolution: Anticipate, identify, and resolve roadblocks and risks that could impede project success. Coordinate cross-team problem-solving efforts to ensure critical issues, such as data availability constraints or technical challenges in model deployment, are addressed quickly.

Foster Collaboration: Foster a culture of collaboration and continuous improvement within the Advanced Analytics team. Organise and lead cross-functional knowledge transfer sessions and ensure project learnings, best practices, and documentation are captured and shared to enable ongoing success and scalability.

Process Optimization: Work with Advanced Analytics leads and external partners to streamline delivery processes, implement project management best practices using tools such as JIRA, Planview, or similar platforms, and improve how the team manages backlogs, user stories, testing timelines, and cross-team collaboration.

What you should bring to the team:

Bachelor’s degree in Business Administration, STEM, or a related field; Master’s preferred. Project management certifications such as PMP, PRINCE2, or Agile/Scrum Master are desirable.

2+ years of experience leading complex technology or data/analytics projects, preferably in advanced analytics, AI/ML, or software development. Proven track record of delivering projects involving cross-functional teams and multiple stakeholders, ideally in a retail or consumer-focused business environment.

Strong knowledge of Agile methodologies and experience implementing project management best practices. Proficiency with project management and collaboration tools such as JIRA, Azure DevOps, Planview, Confluence, or similar.

Excellent leadership and team coordination skills, with the ability to influence and drive results in a matrix environment while coordinating data scientists, engineers, analysts, and business stakeholders.

Outstanding communication and interpersonal skills. Comfortable engaging with both technical and non-technical stakeholders, from software developers to executives. Ability to articulate complex project status, risks, and needs clearly and concisely. Experience preparing executive-level briefings or reports is a strong asset.

Demonstrated ability to navigate and resolve project roadblocks, including technical challenges, resource constraints, and changing business priorities. Proactive and resourceful in finding solutions, with a continuous improvement mindset.

Familiarity with AI, Machine Learning, data science, marketing, and analytics concepts, including marketing campaign measurement, data engineering pipelines, and cloud data platforms such as Databricks and Snowflake, is highly beneficial. Understanding of retail industry dynamics or marketing technology is an asset.