Senior Director Analytics

Role overview

Category analytics and commercial value

• Lead Category Analytics and set the agenda and standards for high-impact sourcing decisions.
• Oversee Fresh sourcing events, including complex RFP design, bid evaluation, and award scenarios, and CoS/HABA supplier assessments and negotiation analytics.
• Quantify alternatives and recommend stronger negotiation strategies, supplier decisions, and enterprise value.
• Prioritize analytical resources with Sourcing and Merchandising leaders and measure decision impact.

Data, reporting, and AI

• Own sourcing data priorities covering quality, accessibility, governance, and decision use.
• Establish consistent sourcing metrics, executive dashboards, and reporting on effectiveness, supplier performance, and opportunities.
• Partner with Enterprise Data, Finance, and Technology to improve data foundations, ownership, controls, and decision-ready insights.
• Lead the multi-year advanced analytics and AI roadmap, including use cases, requirements, investments, and success measures.
• Champion advanced models, automation, Generative AI, and emerging agentic capabilities; guide design, testing, readiness, and responsible implementation.

Partnership and team leadership

• Translate complex analysis into executive narratives, recommendations, and trade-offs focused on enterprise outcomes.
• Collaborate across Sourcing, Merchandising, Finance, Commodity & Business Intelligence, Digital, and Technology.
• Build and develop a high-performing analytics team and establish reusable methodologies, models, and tools.
• Develop talent and a culture of curiosity, continuous improvement, and AI-enabled work across Sourcing.

Key qualifications

• 10+ years of progressive experience in sourcing, procurement, merchandising, commercial analytics, strategy, or related fields.
• Significant experience leading teams and complex cross-functional initiatives.
• Proven ability to influence commercial decisions and deliver value through sourcing analytics, supplier economics, negotiation support, and executive recommendations.
• Experience owning enterprise data, reporting, or advanced analytics capabilities, including governance, performance measurement, and scalable solutions.
• Experience delivering analytics or AI transformation roadmaps with business and technology stakeholders and managing implementation risks.
• Exceptional commercial judgment, structured problem-solving, executive communication, and influence in a complex matrixed organization.
• Knowledge of analytics and visualization tools and familiarity with modern data and AI capabilities; able to lead technical specialists without being the hands-on developer.
• Bachelor’s degree in Business, Economics, Engineering, Mathematics, Computer Science, or related discipline; MBA or another relevant advanced degree is an asset.

Salary

• Hiring range is $145,000–$195,000 per year.
• Pay may reflect candidate experience and knowledge and the position’s geographic region.

About Loblaw