À propos de Ameni
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Expériences
- ArabotLead AI Product Manager - AI Agents Platformjanvier 2024 - Aujourd'hui (2 ans et 5 mois)Owned the product strategy and roadmap for Arabot's AI platform, focusing on building AI agents and workflow automation to drive enterprise efficiency. Designed and launched AI solutions for banking and insurance use cases enabling enterprises to reduce TAT, operational costs and enhance customer experience. For example, a regional finance client reduced financial document processing time from 14 minutes to under 3 minutes by leveraging our AI solutions. Integrated advanced AI components, including LLM models, RAG knowledge retrieval, model fine tuning, and safety guardrails for compliance and performance. Defined end-to-end product flows, including webhook triggers, external channel integrations, and automated workflows, ensuring seamless scalability. Delivered a Go-to-Market (GTM) strategy for the AI Agent Platform, resulting in strategic enterprise client onboarding and H1 goals surpassed. Partnered with UX/UI team to create intuitive onboarding experiences and user journeys that increased product adoption and engagement. Led a full company rebranding initiative, including new brand identity, logo redesign, updated company voice, and a modernized website, enhancing brand perception and alignment with market positioning. Established robust product operations: reorganized Jira boards, implemented user analytics dashboards, created clear product documentation in Confluence and designed Arabot Help Center structure and content. Drove continuous competitive benchmarking and market research, shaping the product vision and aligning features with evolving enterprise needs. Led AI market watch sessions to monitor technical innovations, assess competitive trends, and identify new business opportunities. Coordinated with cross-functional teams (engineering, data science, and design) to deliver 0-to-1 product features on time and within scope.
- BNP ParibasSenior Product Manager - Cross functional lead Business Analystjanvier 2020 - janvier 2024 (4 ans)over 12Context: Digitalization of the customer journey for succession and inheritance. A strategic project for the bank with a budget exceeding €3 million. SAFe methodology with 2-week sprints. The project involves a complex and cross-functional reconstruction of the bank's information system architecture. The project not only met but surpassed the established goals.Owned and prioritized the product backlog: defining user stories and features in alignment with stakeholders and customer needs. Delivered a fully paperless customer space with key features: profile management, notifications, PDF preview/signatures, document upload, chatbot integration, and accessibility enhancements. Led data integration between the bank and insurers via APIs, improving system efficiency and data flow. Drove cross-functional collaboration with business, technical, and UX/UI teams through iteration planning, design reviews, and stand-ups. Managed business analysts, validating functional stories and ensuring delivery quality. Reported progress and insights to sponsors and program managers, contributing to steering committees and strategic decisions. Contributed to strategic workshops on SDSI architecture and process modeling for beneficiary requests. Achieved major KPIs, raising CSAT from 22% to 76% and NPS from -22 to 32.
- Credit Agricole CIBSenior Business Analystjanvier 2018 - janvier 2020 (2 ans)Context: BMF Base Mondiale Finance – Strategic financial consolidation project utilizing a mixed Scrum/Lean agile methodology with 15-day sprints and 3-month releases, encompassing 800 man days. This international project involves 60 entities worldwide and offshore development.Gathered and analyzed requirements for regulatory projects (Loanscape, Anacredit, Asset Encumbrance, Surfi, ACINT) under tight deadlines. Produced and maintained business requirement documents ensuring clarity and alignment with project goals. Collaborated with technical teams in Singapore to brainstorm solutions and develop macro estimates. Managed UAT and change requests, ensuring smooth post-deployment transitions. Led reconciliation and data management, including Master Data Management (MDM) and defaulting rules for calculated dates.
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Formations
- Master's Degree in engineering (Honours)ecole des mines d'ales2010Master's Degree in engineering (Honours)
Certifications
- MIT AI /MLMIT2025