Objective of the role

Provide deep pharmaceutical domain expertise to design a predictive, regulation-compliant pharmacy ordering model that:

• Reflects real-world pharmacy and wholesaler behaviour
• Embeds regulatory, ethical, and operational constraints
• Produces trusted, actionable outputs for pharmacists
• Balances margin, service level, and stock optimisation objectives

Key Responsibilities

1. Predictive Ordering Domain Guidance

• Translate pharmacy and wholesaler operational realities into model constraints
• Validate demand drivers: seasonality, epidemiology, promotions, substitutions, shortages
• Define appropriate automation vs pharmacist control
• Ensure recommendations align with dispensing and supply realities

2. Regulatory & Compliance Oversight

Ensure compliance with French and EU pharmaceutical regulations, including:

• Public Service Obligations (PSO)
• Controlled substances requirements
• Cold-chain constraints
• Generic substitution rules
• Ethical limits on promotion and inducement

Also:

• Ensure auditability, traceability, and explainability of recommendations
• Prevent legally or ethically non-compliant “optimal” outputs

3. Model Review & Challenge

• Review forecasts, predictive logic, and replenishment recommendations
• Challenge retail/FMCG assumptions unsuitable for pharma
• Stress test outputs against shortages, allocations, and regulatory limits
• Define KPIs relevant to pharmacists and wholesalers

4. Cross-Functional Enablement

Act as a bridge between: Data science, Product & UX, Pharmacy, wholesale, and supply chain stakeholders
Support workshops, design reviews, and decision forums.

Mandatory Experience

Pharmaceutical Domain (Non-Negotiable)

• 10+ years in pharmaceutical wholesale, pharmacy operations, supply chain, or demand planning
• Experience with independent and/or group pharmacies
• Experience with pharmaceutical wholesalers or short-line distributors
• Strong knowledge of French pharmaceutical market specifics

Predictive / Analytical Systems

• Direct involvement in demand forecasting, automated/assisted ordering, stock optimisation, or replenishment algorithms
• Experience translating business logic into algorithmic rules (coding not required)

Regulatory & Risk Expertise

• Hands-on exposure to regulated decision systems
• Clear understanding of legal/ethical constraints on algorithmic decision-making in pharma

Strong Differentiators

• ERP-driven ordering ecosystems
• Pharmacy-facing digital tools or B2B ordering platforms
• Sell-in / sell-out optimisation
• Large-scale transaction environments (tens/hundreds of thousands of daily order lines)
• Experience with explainable AI or regulated decision-support systems