• Leads the financial performance, analytics, governance, and value creation activities associated with Sodexo Canada's Supply Chain and Procurement functions • Drives continuous improvement through data analytics, reporting automation, and process transformation initiatives • Partners closely with Procurement, Commercial Finance, and BP&A teams to maximize Vendor Discount Agreement (VDA) performance • Establishes key performance indicators, monitors trends and variances, and translates complex data into clear recommendations for Finance, Procurement, and Supply leadership teams • Owns the governance, collection, and recovery of vendor funding receivables, rebates, and other supplier-related recoveries

• Support the Customer Success team with data gathering, organization, and quality checks across customer accounts. • Liaise with customers and their partners/vendors on questions related to data completeness or accuracy. • Help analyze data sets to support the CS team's work — this may include Proof of Concept support, customer simulations, or other data needs that come up. • Support customers in hitting their success plans and integration timelines by owning data-related tasks assigned to you. • Build product knowledge of customer onboarding and the platform over time. • Share customer and market insights back to the product and engineering teams. • Support various administrative tasks to help the team run smoothly. • Help identify ways to make existing workflows more efficient.

• Build and maintain scalable databases • Develop executive dashboards in Power BI • Translate complex data into actionable insights • Work closely with business stakeholders to understand requirements • Ensure data quality, consistency, and governance • Automate analysis processes and the generation of metrics/indicators • Create clear presentations for executive stakeholders

• Lead the design, development, and integration of AI-powered features • Architect scalable, cloud-native solutions on GCP and AWS • Actively leverage AI coding assistants, LLMs, and prompt engineering techniques • Drive responsible AI practices across the team • Collaborate with product management, data science stakeholders, and QA • Define and enforce software engineering standards within a CI/CD environment • Lead code reviews, architecture discussions, and technical planning sessions • Mentor junior and mid-level engineers • Stay current on emerging AI frameworks and capabilities