Youssef Horchani

• Identify, structure, and prioritize business needs into clear, value-driven use cases • Translate requirements into user stories and features, maintaining a prioritized product backlog • Own the product roadmap and ensure alignment with business objectives and ROI • Lead delivery with AI, Data, and Engineering teams, ensuring timely and high-quality execution • Make prioritization trade-offs based on business value, user impact, and technical constraints • Define and enforce product, delivery, and data governance (data ownership, quality, access, decision frameworks) • Establish and maintain agile and operating processes, ensuring consistency and cross-team alignment • Drive adoption and measure product performance, tracking KPIs, data quality, value delivered, and post-launch impact

• Identified and prioritized user needs by facilitating co-creation workshops and requirements-gathering sessions • Formalized business needs into clear documentation • Translated business requirements into concrete functional product specifications • Oversaw the entire product discovery process, roadmap development, and the creation of a GenAI demonstrator based on a RAG (Retrieval-Augmented Generation) architecture • Collaborated closely with a data scientist, a Power Apps developer, and business teams to ensure alignment between product vision, functional needs, and technological capabilities • Led agile ceremonies, including daily stand-ups, sprint reviews, retrospectives, and planning sessions • Monitored user feedback and performance indicators to iterate on the product and maximize its added value • Designed and formalized a GenAI service offering tailored to business sectors

• Led the design and rollout of an AI assessment tool adopted by 150+ users, enhancing compliance and oversight • Defined vision, strategy, and roadmap for the AI compliance platform, ensuring alignment with regulations and business goals • Secured executive sponsorship and cross-departmental adoption through proactive stakeholder engagement

IINTERMARCHÉ - Data Governance Consultant • Organized and facilitated training sessions to educate 80 employees on data governance and prepare them for their new roles as data stewards • Designed and implemented an operational data governance strategy in collaboration with the Data Office • Supported data teams in defining relevant metrics to measure and track the performance of data initiatives, such as data remediation • Strengthened understanding and application of key concepts, including business glossaries, data quality, and data security INTERMARCHÉ - Change Management Consultant • Identified and mapped all internal and external stakeholders involved in the project • Assessed critical challenges and risks related to the implementation of a new point-of-sale reference system • Developed a detailed project plan, outlining phases, milestones, required resources, and timelines • Defined key performance indicators (KPIs) and success criteria to monitor progress and impact • Established a timeline for each project phase

• Led workshops with business teams to identify opportunities for data product development • Prioritized data products based on business impact and technical complexity to optimize the product roadmap • Facilitated workshops with IT teams to identify and validate required data sources for key use cases • Developed two key data products in Tableau: one for tracking service conversion rates, and another for monitoring commercial performance • Promoted data literacy by training business teams on Tableau, enhancing their autonomy and data-driven decision-making

• Identified recurring data quality incidents and conducted root cause analysis • Designed and implemented a targeted action plan to sustainably address identified issues • Defined and monitored key KPIs to strengthen proactivity in detecting and remediating data problems

Within the Data Office team, responsible for data governance in the product domain: • Gathered and analyzed business needs in data quality for the France, China, UK, and US markets to propose tailored and harmonized solutions • Quantified poor-quality product data in the repository and developed a structured remediation plan • Designed and implemented data standards and naming conventions for new products, ensuring consistency and traceability • Deployed a data quality remediation process across subsidiaries, promoting local adoption and global compliance • Implemented a centralized tool for monitoring and controlling data quality incidents, contributing to a 60% reduction in inconsistencies through optimized control processes • Created and managed a product business glossary, ensuring comprehensive and shared documentation of key data

• Cleaned and prepared the customer database to ensure the quality and reliability of analyses • Performed exploratory data analysis (EDA) to identify key trends and anomalies • Conducted detailed customer segmentation to effectively target marketing and sales actions • Developed comprehensive customer profiles and analyzed purchasing behaviors to better understand user patterns • Generated actionable business insights and formulated strategic recommendations to optimize commercial performance

• Conducted a comprehensive audit of the Data Office to provide a clear assessment and identify levers for performance optimization • Performed an in-depth analysis of the Center of Excellence (CoE) operations to highlight areas for improving operational efficiency • Clarified the scope, missions, and positioning of the CoE, supported by a structured formalization of its services and internal organization • Delivered strategic and operational recommendations to enhance team productivity, including concrete proposals on processes, tools, skills, and overall structure