Global Commodity Analytics Lead — AI-Driven Sourcing

Restaurant Brands International; Zug; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Global paid parental leave

Telemedicine and mental wellness

Zusammenfassung

Restaurant Brands International is expanding its Global Commodities & Intelligence Centre of Excellence to drive data-driven procurement decisions across multiple brands. The Sr.

Manager, Global Commodity Management & Analytics will lead market intelligence, forecasting, and risk management for direct categories while advising on indirect areas. The role emphasizes AI/ML forecasting, vendor management, and cross-functional collaboration.

Qualifikationen

• 6+ years of progressive experience in commodity procurement, trading analytics, agricultural markets, supply chain risk management, or commodity intelligence within FMCG, food service, QSR, or agri-food.
• Solid grounding in global commodity markets for at least two of the nine Direct categories; proven experience supporting or executing upstream raw commodity negotiations, including proteins, grains, oilseeds, or packaging feedstocks.
• Hands-on experience building or working with AI/ML-based forecasting tools, commodity price models, or advanced analytics platforms in a commercial procurement or trading context.
• Proficiency in Python, R, or comparable data science tooling for commodity modelling; experience with Power BI, Tableau, or equivalent for dashboarding and executive reporting.
• Working knowledge of commodity market structures, exchange-traded pricing (CME, CBOT, ICE), and financial risk instruments (futures, options, indices).
• Hands-on experience with major commodity market data providers (e.g., LSEG, Bloomberg, Mintec, Agiboo, Fastmarkets); ability to manage vendor relationships and evaluate platform capabilities.
• Experience with supply chain stress testing, scenario modelling, or financial risk analysis in a commodity or procurement context.
• Strong analytical and commercial skills — able to translate complex market data into clear financial impact models and concise strategic recommendations.
• Excellent written and verbal communication skills; confident presenting to senior stakeholders.
• Fluent in English; additional languages an asset.

Aufgaben

• Build and continuously improve commodity intelligence tools, including price forecasting models, market monitoring, risk dashboards, and scenario-planning frameworks.
• Conduct market research across the direct commodity portfolio, covering supply and demand, weather, crop conditions, geopolitics, trade flows, currency movements, and market pricing.
• Develop global should-cost models and cost benchmarks to validate supplier pricing and support evidence-based sourcing and negotiation decisions.
• Support RBI’s commodity risk management strategy, including forward-buying programms, index-linked contracts, hedging considerations, and spot, forward, and long-term supply arrangements.
• Prepare negotiation strategies, cost models, and commercial materials for upstream commodities, supporting negotiations and gradually taking ownership of selected categories.
• Lead contingency and risk-management activities, including supply-chain stress testing, scenario modelling, inventory analysis, business continuity assessments, and risk reporting.
• Manage commodity data, external intelligence providers, and system integrations, ensuring reliable data is available across procurement, finance, and supply-chain teams.
• Partner with regional and global stakeholders by providing market updates, sourcing recommendations, executive reports, supplier benchmarks, sustainability insights, and governance support.

Kenntnisse

Python

R

Power BI

Tableau

Forecasting models

English fluency

Tools

LSEG

Bloomberg

Mintec

Agiboo

Fastmarkets

Jobbeschreibung

Restaurant Brands International is expanding its Global Commodities & Intelligence Centre of Excellence to drive data-driven procurement decisions across multiple brands. The Sr.

Manager, Global Commodity Management & Analytics will lead market intelligence, forecasting, and risk management for direct categories while advising on indirect areas. The role emphasizes AI/ML forecasting, vendor management, and cross-functional collaboration.