mohammed boutahar

• Own the Data & AI product roadmap across retail, e-commerce, customer intelligence, loyalty, marketing performance, and
digital operations, aligning business priorities with scalable data products.
• Built and operationalised the delivery model across business, data architecture, engineering, and AI teams, accelerating
strategic data product delivery across the Group.
• Lead cross-functional delivery through a matrix team of 2 data architects and 10+ data engineers, delivering 15+ data and AI
products including AI assistant analytics, MMM reporting, loyalty dashboards, e-commerce operations, and omnichannel
tracking.
• Act as Tech & Data lead for omnichannel steering committees, translating Group-level priorities into executive narratives, KPI
frameworks, product roadmaps, and delivery plans.
• Led the data strategy, measurement framework, and adoption tracking for an in-house AI product recommendation
assistant, measuring conversion uplift from 1% to 4.6%.
• Managed Marketing Mix Modelling delivery with external partners, enabling marketing spend optimisation, model
validation, and Group-wide rollout.

• Designed, implemented, and scaled Chalhoub Groups flagship Daily Sales Report in partnership with the CFO office, making
it the Groups number one analytics product for 3 consecutive years, adopted by 500+ users across retail, e-commerce,
finance, operations, and leadership teams.
• Built centralized BI dashboards and governed KPIs across retail, e-commerce, CRM, marketing, finance, and operations,
improving reporting consistency and business decision-making.
• Delivered enterprise data products spanning loyalty, marketplace, marketing, customer, and operations for 30+ brands,
improving reporting consistency and Group-level performance visibility.
• Built governed KPI frameworks, semantic layers, and reporting standards across retail, CRM, marketing, and operations,
reducing reporting discrepancies and establishing a single source of truth.

• Delivered data science and AI solutions for Renault, Alstom, and Airbus across industrial, finance, and HR use cases.
• Applied NLP, machine learning, web scraping, and text mining to automate data extraction, document classification, and
business workflows.
• Developed factory-support chatbot, resume classification, and candidate matching models, improving operational efficiency
and matching accuracy by 50%.