Supply Chain Data & Analytics Product Owner - Sr Manager

Mondelēz International; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

A leading global snack company in Toronto is seeking a Senior Manager, Analytics, to lead the analytics strategy and ensure product-oriented delivery for the Supply Chain. You will manage cross-functional teams, incorporating generative AI capabilities to improve decision-making. Ideal candidates will have over 8 years of experience in analytics within the CPG industry, strong leadership skills, and proficiency in cloud-based analytics solutions.

Qualifications

• 8+ years of experience in data and analytics roles within the CPG industry.
• Summary of data governance and analytics practices.
• Experience with AI/ML frameworks.

Responsibilities

• Oversee product delivery lifecycle from ideation to deployment.
• Manage relationships with external partners for product development.
• Drive analytics adoption across functions.

Skills

Influencing business agenda

Leadership in analytics

Analytical techniques usage

People leadership experience

Education

Bachelor’s degree in Data Science or Business Analytics

Certified Analytics Professional

Tools

GCP

AWS

Power BI

Tableau

Job description

Overview

Join our Mission to Lead the Future of Snacking. Make It Possible.

You will have the opportunity to make a big impact on our business performance as you support the data strategy and lead the development of custom models / algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

How you will contribute

• Support stakeholders across portfolio using agile ROI / KPI initiatives that will drive improvements
• Identify and incubate best‑in‑class external partners to drive delivery on projects
• Work on development of custom models / algorithms to uncover signals / patterns and trends to drive long‑term business performance
• Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
• Build a professional and reliable team
• Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

• Ability to influence the business agenda and make recommendations to senior leaders
• Leadership experience in best‑in‑class analytics practice roles
• Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of analytics techniques to create business impacts
• Proven people leadership experience

More about this role

We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic‑Racial, Women and LGBTQIAP+, in addition to being part of MOVER – Movimento pela Equidade Racial.

What you need to know about this position

As the Senior Manager, Analytics, you will take on a critical leadership role in the Mondelēz Digital Services (MDS) Data & Analytics team, focusing on the Supply Chain product. You will be responsible for driving a product mindset and ensuring product‑oriented delivery for the Mondelēz Supply Chain (MSC) and Procurement functions. Your work will span end‑to‑end delivery, cost‑to‑serve optimization, and leveraging generative AI capabilities to create impactful, scalable solutions. This role demands close collaboration with cross‑functional teams and external partners to align the product vision with business priorities and enable data‑driven decision‑making that supports Mondelēz's mission to lead the future of snacking.

What extra ingredients you will bring

• Product Mindset: Strong understanding of product‑oriented delivery, focusing on iterative development, user‑centric design, and clear ROI metrics.
• Technical Expertise: Proficiency in data platforms (GCP, AWS), big data solutions (BigQuery, Databricks), and visualization tools (Power BI, Tableau).
• Generative AI & ML: Hands‑on experience with AI / ML frameworks like Vertex AI, Databricks MLflow, AutoML integrating AI models into business applications.
• Project Management: Proven track record in managing complex, cross‑functional projects, delivering on time and within budget.
• Communication: Exceptional ability to convey technical concepts to non‑technical stakeholders clearly and persuasively.
• Leadership: Experience in building and leading high‑performing teams in a matrixed organizational structure.
• Analytical Thinking: Strong problem‑solving skills with the ability to interpret complex data and translate insights into business outcomes.

Education / Certifications

Bachelor’s degree in a relevant field (Data Science, Business Analytics); advanced certifications (Certified Analytics Professional) are a plus.

8+ years of experience in data and analytics roles within the CPG industry, with a strong focus on supply chain and Procurement functions.

Demonstrated expertise in cloud‑based analytics solutions and DevOps practices.

Familiarity with cost‑to‑serve logistics metrics and integration of systems like SAP ECC / S4, O9, Enablon and SAP EWM.

Strong background in data governance, data quality, and driving analytics adoption across functions.

Job specific requirements

• Product Vision and Roadmap: Develop and manage the product vision, roadmap, and strategy for the MARCO MSC product, ensuring alignment with MSC and Procurement business objectives.
• End‑to‑End Product Delivery: Oversee the full lifecycle of product delivery, from ideation to deployment, including managing TCO (Total Cost of Ownership), budget, scope, and operational readiness.
• Stakeholder Engagement: Act as the primary liaison between MSC, Procurement, MDS, and business stakeholders to align priorities, manage expectations, and ensure the product’s success.
• Data and Analytics Leadership: Drive the ingestion, analysis, and governance of MSC and Procurement data to uncover actionable insights and optimize operations.
• Generative AI Integration: Lead the integration of AI / ML capabilities, such as predictive modeling and generative AI solutions, into product workflows to enhance decision‑making and operational efficiency.
• External Partnerships: Manage relationships with external partners and vendors to ensure high‑quality product development and compliance with Mondelēz standards.
• Agile Practices: Champion agile practices for continuous delivery and scalability of analytics solutions, ensuring adaptability in a fast‑paced environment.
• Team Leadership: Build, inspire, and develop a high‑performing team that drives innovation and delivers measurable business value.

Mondelez International is attentive to the future of work and values the well‑being of our people, seeking to provide the best experiences. Some administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week. No Relocation support available.

Business Unit Summary

Mondelēz Brasil is Mondelēz International’s fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians’ favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth‑watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We also have one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type: Regular Analytics & Modelling, Analytics & Data Science