• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML). • Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs. • Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis. • Continuously provide feedback upstream to improve data quality, coverage, and performance. • Identify and implement opportunities to automate manual workflows using AI and advanced analytics. • Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights. • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications. • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes. • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools. • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending. • Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights. • Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health. • Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations. • Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions. • Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed. • Facilitate change management through documentation, communication plans, and process training.

• Lead the financial performance, analytics, governance, and value creation activities associated with Sodexo Canada's Supply Chain and Procurement functions. • Drive continuous improvement through data analytics, reporting automation, and process transformation initiatives. • Partner with Procurement, Supply Chain, Commercial Finance, and BP&A leadership for maximizing performance. • Establish and maintain standardized accrual methodologies and monthly review processes.

• 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.