Raoum KHIARI

Designing Trusted AI at Scale | AI Strategy, Governance & Product Leadership | MIT xPRO (2026)

Greater Paris Metropolitan Region

About

Senior AI Strategy & Product Leader shaping AI initiatives from vision to scalable impact. Bridging business priorities, advanced AI capabilities (GenAI, NLP, ML) and responsible governance to deliver sustainable value in complex environments.

Experience

  • AI Product Strategy & Leadership (GenAI) at Thales
    Jan 2026 - Present · 6 mos

    Thales - CortAIx Factory via Beelix (consulting engagement) Leading product direction and contributing to AI strategy for a GenAI-enabled industrial product within an AI Center of Expertise, with a focus on scalable AI solutions and measurable operational impact in complex environments. - Contribute to AI product strategy and long-term vision for GenAI initiatives within an AI Center of Expertise, in alignment with business objectives and operational needs - Translate strategic objectives into actionable product backlog and product direction, shaping roadmap priorities in close collaboration with business, product, and technology stakeholders - Drive value-based scoping and prioritization, ensuring GenAI capabilities focus on measurable operational impact rather than feature volume - Support AI product industrialization by embedding governance, robustness, adoption, and risk considerations into product decisions - Act as a key interface between leadership, the AI Services Portfolio Manager, product teams, and AI experts, supporting informed and aligned decision-making

  • AI Transformation - Strategic Initiatives (Group General Management) at ALTEN
    Nov 2025 - Jan 2026 · 3 mos

    Short-term strategic AI transformation and scoping mission conducted within ALTEN’s Group General Management, as part of Strategic AI Initiatives and the AI Program (A³). - Appointed AI Ambassador within ALTEN’s Group-wide AI transformation program - Led a Group-level AI transformation scoping mission, focused on business impact, adoption, and organizational readiness - Structured and prioritized a portfolio of 10 AI use cases, identifying 3 high-impact initiatives recommended for launch - Coordinated cross-functional stakeholders across business, technology, and AI to drive alignment and impact - Contributed to early foundations of AI governance, culture, and sustainable AI deployment

  • Senior AI Product Manager / Product Owner at BNP Paribas
    Mar 2025 - Nov 2025 · 9 mos

    Fixed-term consulting assignment - ALTEN Group (Lincoln) Client: BNP Paribas GHR - People Analytics Data & AI - AI Product Manager / Product Owner within BNP Paribas Group HR (People Analytics & AI) - Led end-to-end AI product lifecycle (discovery → MVP → delivery) using data-driven decision-making - Delivered multiple AI products (LLM, RAG, NLP, analytics, learning & content generation) - Drove alignment with C-level stakeholders and HR leadership through steering and arbitrations - Built AI & data governance frameworks (RACI, DPIA, security, model review, documentation) - Defined HR AI strategy and a 5-year roadmap aligned with Responsible AI principles

  • SYSTRAN (10 yrs 5 mos)
    • PM - NLP/AI | R&D Expert
      Jul 2017 - Mar 2025 · 7 yrs 9 mos

      - Define and execute an AI roadmap NMT aligned with business priorities - Prioritize features based on KPIs, user needs - Coordinate cross-functional agile squads (linguists, researchers, engineers) - Launch, monitor, and optimize AI features (post-editing, fine-tuning…) - Accelerate time-to-market through MVPs, A/B testing, and user validation - Align product strategy with sales and marketing to maximize adoption - Lead innovation in machine translation, integrating state-of-the-art NMT and LLM technologies - Ensure continuous linguistic quality and regulatory compliance

    • Product Manager
      2017 - 2025 · 8 yrs

    • R&D Engineer AI/NLP
      Nov 2014 - Jun 2017 · 2 yrs 8 mos

      - Train and NMT models, optimizing hyperparameters to boost translation quality. - Automate preprocessing, cleaning, and tokenization of multilingual datasets. - Automate MT model evaluation using BLEU, METEOR, and other metrics. - Customize models for domain-specific corpora (legal, medical, etc.). - Refine models through error analysis and user feedback. - Leverage latest NLP and ML research to integrate cutting-edge techniques.

  • Research And Development Engineer at
    2014 - 2017 · 3 yrs