Manager, Network Optimization

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Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local.

Proudly independent, we are a Canadian, family-owned business. Coke Canada Bottling makes, distributes, merchandises, and sells the most-loved beverages Canadians enjoy. With over 6,000 diverse employees coast-to-coast, we operate in every province through 50+ sales and distribution centres, and five manufacturing facilities.

Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by bringing sustainable value to our employees, customers, consumers, and communities.

Advancing a high-performing, collaborative and inclusive culture is at the core of our vision to be the World’s Greatest Bottler, Built by the Best People, and we’re looking for exceptional talent to help get us there.

For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.

• Work Location – Brampton
• Shift/Hours or Hybrid Environment – 3 days in-office
• The full base salary range for this position is from $108,000 - $120,000 annually. The starting base salary offered is based on market location and may vary depending on job-related knowledge, role complexity, skills, experience, and internal equity.
• Initial Posting Close Date – August 28th, 2026

About This Opportunity

Reporting to the Director, Network Strategy and Design, the Manager, Network Modeling provides analytical leadership and business partnership across manufacturing, warehousing, transportation and network strategy. The role translates business questions into models, scenarios, and recommendations that improve service, cost, capacity utilization, and long-term network design decisions.

This role offers a unique opportunity to shape the future supply chain network of one of Canada's largest beverage companies, influencing manufacturing, warehousing and transportation decisions with national impact. Working across a coast-to-coast manufacturing and distribution network, the successful candidate will support strategic investment decisions, network design initiatives, and long-range business planning. The role provides significant exposure to senior leadership, with opportunities to influence executive-level decisions through analytics, scenario modeling, and data-driven recommendations.

Responsibilities

• Lead network modeling, scenario analysis, greenfield studies, capacity analysis and optimization projects.
• Build and maintain digital models using Supply Chain Guru, Python, SQL, Power BI or equivalent analytical tools.
• Translate complex results into executive-ready recommendations that connect numbers with operational reality.
• Partner with Supply Chain, Logistics, Manufacturing, Commercial, Finance and Engineering teams.
• Support strategic initiatives involving manufacturing footprint, warehouse design, transportation strategies, inventory optimization and customer service improvements.
• Present recommendations and business insights to senior leadership, helping influence strategic decisions related to network design, capacity expansion, inventory strategy, transportation optimization and capital investments.
• Develop future internal capabilities in simulation, digital twins, machine learning and advanced analytics.
• Coach and influence stakeholders without direct authority while driving alignment across functions.
• Continuously improve model quality, data governance and decision support processes.

Qualifications

• Bachelor degree in Engineering, Supply Chain, Operations Research, Mathematics, Computer Science, Data Science or related discipline.
• 3+ years of experience across manufacturing, warehousing, transportation, logistics, planning or distribution.
• Demonstrated analytical curiosity and ability to rapidly learn optimization and modeling tools.
• Strong influencing, communication, and stakeholder management skills.
• Experience with SAP, ERP, WMS, TMS, or planning systems.
• Experience with Python, SQL, Power BI, machine learning, or advanced analytics preferred.
• Experience with optimization software such as Supply Chain Guru X or similar tools is an asset.
• Ability to synthesize large data sets into actionable business recommendations.
• Knowledge of Coca-Cola manufacturing and distribution operations is an asset.

Why work with us?

• Join a local, family-owned business that’s part of a globally recognized brand, where you can develop your capabilities, competencies, and career.
• Coke Canada has a culture of learning, and we offer several channels to support your development, including on-the-job training and a library of free courses for just-in-time learning.
• We are committed to offering a comprehensive benefits package designed to help our employees achieve their best physical, mental, financial, and overall health and well-being. This includes a competitive compensation package, access to retirement and saving programs, family and employee assistance program, paid vacation and floater days.
• We have close, local connections with the communities in which we operate across Canada. We’re determined to make a positive difference in our communities; this includes opportunities for employee volunteerism.
• We’re building our business responsibly and our mission is to work Toward a Better Future Together. We have a plan that outlines how we are reducing, reusing, recycling, decreasing our carbon footprint, and using water responsibly. For more information visit cokecanada.com/sustainability/

Coke Canada has been recognized as one of Canada’s Best Employers for Diversity, and we’re committed to fostering a diverse, equitable and inclusive workplace. Together we are creating a workplace culture that values diversity, enables inclusivity and ensures everyone feels like they belong. We are aiming to ensure our diverse workforce is reflective of the communities in which we operate. Research shows that women-identifying and other marginalized individuals often hesitate to apply unless they meet 100% of the listed qualifications. If this role excites you, even if you don’t check every box, we encourage you to apply. Your unique experience and perspective could be what we’re looking for. Unless otherwise specified, this job post is for an existing vacancy.

Our hiring process is human-driven and does not involve AI tools for screening, assessment, or selection. For individuals requiring accommodations or support throughout the recruitment process please call View phone number on click.appcast.io or email View email address on click.appcast.io .

Important – please note

All offers of employment at Coke Canada Bottling are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some, or all, of the following: criminal clearance, employment verification, education verification and driver's abstract review. Please advise the Talent Acquisition team if you have any questions or concerns once you are contacted for further consideration.