Summary
Panda Retail Company is hiring a Commercial Excellence Senior Manager in Jeddah. The role leads commercial planning, forecasting, sales navigation and supplier-level growth and negotiation strategies, while tracking plan-versus-actual results and corrective actions. It owns commercial KPI definitions, Power BI requirements and decision-intelligence use cases using AI, automation and advanced analytics. The role also partners with IT and Data on data quality, integration, security and productionization.
The posting
As published on panda.com.sa. Pulled from the employer's site and shown as they wrote it.
Job purpose
Lead the Commercial function's end-to-end navigation, planning and decision-intelligence capability, providing the CCO and Commercial leadership with an independent, fact-based view of where the business is going, whether agreed strategies are materializing, what is driving gaps, and what decisions or negotiations are required to land the plan. Own the evolution from reporting-centric analytics to a governed commercial decision system augmented by AI, automation and advanced analytics.
Key Accountbility
· Own the annual budget, monthly plan, end-year estimate and forecast-to-landing navigation logic for Commercial.
· Translate strategy and market dynamics into granular planning assumptions and challenge them with evidence.
· Lead conversion of approved commercial ambition into supplier-level growth, margin and negotiation strategies.
· Reconcile supplier plans back to total sales and margin ambition; quantify contract/term/funding improvements required to close economic gaps.
· Own the monthly Sales Navigation cycle and quarterly/six-month gate reviews, focusing leadership attention on exceptions, decisions and corrective actions.
· Build the closed-loop plan-versus-actual mechanism and ensure gaps have root cause, action, owner, timing and quantified landing impact.
· Own Commercial KPI definitions, Power BI business requirements, semantic governance and dashboard adoption; shift dashboards from descriptive to actionable.
· Create and govern Commercial Decision Intelligence use cases using LLMs, agents, automation, external research and advanced analytics.
· Ensure AI-generated analysis is grounded, auditable, evaluated and subject to human decision ownership; maintain override and learning governance.
· Act as the Commercial product owner with IT/Data for data access, quality, integration, security and productionization.
· Develop the team from report producers into commercial navigators, analytics translators and AI-enabled decision partners.
· Continuously identify high-value opportunities where data, automation or AI can improve commercial decisions, productivity or negotiation outcomes.