Manager, Network Analytics, Yonge Mills

What You’ll Do

Leadership&Team Management

Lead, coach, and develop a team of technical analytics professionals (data analysts, BI developers, data scientists and/or data engineers), creating clarity around priorities and expectations. Foster a high‑performance, collaborative team culture that balances speed, quality, and innovation. Remove blockers, set direction, and keep the team focused on delivering value.

Stakeholder Partnership&Communication

Act as the primary translator between business stakeholders and technical teams, ensuring shared understanding of goals, constraints, and outcomes. Partner closely with senior business leaders to understand strategic objectives and operational challenges. Clearly communicate progress, risks, trade‑offs, and decisions in a concise and compelling way.

Business Problem Translation

Translate business questions into structured data, analytics, or AI approaches, selecting the right methodology for the problem at hand. Guide the team in framing problems, defining success metrics, and designing analytical solutions that are actionable and scalable. Ensure insights and outputs are clearly tied back to business impact and decision‑making.

Project&Delivery Management

Own end‑to‑end delivery of analytics and AI initiatives, from intake through execution and release. Manage project timelines, dependencies, and resourcing across multiple concurrent initiatives. Proactively identify risks and course‑correct to keep work on track and aligned to business priorities.

Technical Direction&Quality

Lead a technical team by setting standards for analytical rigor, data quality, and solution design. Review and guide technical approaches without needing to be the hands‑on builder. Ensure solutions are maintainable, well documented, and aligned with enterprise data and AI standards.

What You Bring

2+ years proven experience leading and managing an analytics or data science team. 2+ years experience supporting retail, store operations, or field‑based organizations; experience with hands‑on analytics or data science roles in such environments is preferred. Strong project and delivery management experience with a track record of meeting timelines.Excellent communication skills, with the ability to influence and align both technical and non‑technical audiences. Demonstrated ability to translate ambiguous business questions into clear data or AI approaches. Experience working with analytics and data platforms. Exposure to AI‑driven use cases and advanced analytics in a business environment.Ability to research and learn new technologies and onboard a team. Comfort operating in a fast‑paced, matrixed environment with multiple stakeholders. SAFe certification is an asset. Compensation&Benefits

Competitive salary in the range of $79,000– $131,000 CAD per annum, commensurate with experience. In addition to competitive pay, we offer career growth opportunities, product discounts, broadband, and a comprehensive benefits package which includes mental health benefits, retirement and savings programs, and profit sharing.

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