• Develop the product strategy for MDM and Governance solutions, identifying opportunities to revolutionize manual stewardship processes with AI-augmented workflows. • Design and build mockup screens and interactive prototypes to illustrate complex data stewardship processes. • Conduct thorough research using AI tools to analyze competitive trends and define the application of LLMs and ML for automated entity resolution, self-healing data, and predictive quality. • Guarantee smooth integration across the data ecosystem, from migration through quality to governance. • Work closely with engineering teams to ensure products meet governance requirements and remain scalable. • Build strong relationships with major global clients, consultants, and industry leaders to align product roadmaps with real-world business needs.

• Own the visit growth roadmap and strategy • Drive commercial accountability • Navigate complex stakeholders • Optimize conversion funnels • Build and own the measurement framework • Balance growth with trust • Raise the bar on product quality

ABOUT US Syniti, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE Role We are seeking a visionary Technical Product Manager to guide the development and transformation of our Master Data Management (MDM) and Governance platform. This role is critical in connecting traditional enterprise legacy systems with innovative, AI-driven data products. The Product Manager will oversee the entire data lifecycle, including cataloging, migration, data quality, and master data governance. The ideal candidate possesses strong expertise in SAP MDG, Informatica, and complex ERP environments, and is also passionate about building and innovating. They are adept at conducting in-depth research with AI agents and creating detailed UI mockups to design an exceptional user experience. The primary objective is to ensure seamless integration of platform modules, optimizing the data lifecycle to establish a "Golden Record" that is precise, useful, and ready for AI applications. What You’ll Do - Strategy & Roadmap: Develop the product strategy for MDM and Governance solutions, identifying opportunities to revolutionize manual stewardship processes with AI-augmented workflows. - Prototyping & UX Design: Design and build mockup screens and interactive prototypes to illustrate complex data stewardship processes. Serve as the lead architect for the platform's user experience. - AI Research & Innovation: Conduct thorough research using AI tools to analyze competitive trends and define the application of LLMs and ML for automated entity resolution, self-healing data, and predictive quality. - Full Lifecycle Integration: Guarantee smooth integration across the data ecosystem, from migration through quality to governance. Work to remove data duplication and use insights from each stage to maximize platform return on investment. - Cross-Functional Leadership: Work closely with engineering teams to ensure products meet governance requirements and remain scalable. Collaborate with Marketing, Sales, and Customer Success to develop go-to-market strategies and ensure successful product launches. - Stakeholder Management: Build strong relationships with major global clients, consultants, and industry leaders to align product roadmaps with real-world business needs. WHAT IT TAKES - The Experience: Bring over 10 years of experience in Data Governance, Data Quality, or Master Data Management in large enterprise settings. - The Technical Core: Demonstrate a proven history with SAP MDG, Informatica MDM, and a thorough understanding of SAP S/4HANA or other Tier-1 ERP systems. - The Modern Toolset: Show proficiency in leveraging AI for productivity and research and be skilled in using design tools such as Figma and v0 to communicate vision through visual mockups. - Education: Hold a bachelor’s degree in business, Tech/engineering Master Data Management, IT, Supply Chain, or possess equivalent professional experience. - The Integrator: Recognize that data governance is integrated with Data Analytics, Reporting, and Dashboarding, ensuring data visibility is prioritized within the product. - The Leader: Act as a self-starter, capable of guiding cross-functional teams to implement product vision in dynamic and complex environments. Key Skills - Visionary Leadership: Develop a clear product vision, establish objectives, and provide mentorship for data management activities aligned with business goals. - Advanced Governance Concepts: Expertly apply Data Management and Governance principles to solve business challenges, such as survivorship rules and hierarchy management. - AI/ML Fluency: Demonstrate advanced understanding of applying AI and Machine Learning to automate data governance bottlenecks. - Communication Excellence: Effectively communicate complex technical topics to varied audiences, including engineers and C-suite executives. - Stakeholder Influence: Build relationships with a wide range of stakeholders to ensure their active engagement and support for data initiatives. - Drive for Results: Maintain a consistent record of achieving goals and objectives, with a focus on reaching stretch goals and fostering innovation. - Analytical Reasoning: Exhibit strong problem-solving skills and the ability to create data-driven product strategies, prioritizing effectively in high-pressure situations. WHAT WE OFFER - Trust in your talent. At Syniti you will find a supportive environment and access to learning tools, but micromanagement is not our style. - Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly you will have the chance to shape our journey and share in our success story. - Support. We all rely on each other and enable each other to be successful. You won’t stand alone. - Curiosity and genuine interest in you. We all have our different stories, all equally fascinating with each depicting a different journey and we want to hear them all. - Recognition. We are the sum of individual achievements, and we always take the time to celebrate them. - An open organisation. Titles don’t define access at Syniti. We stay humble regardless of where we sit in the organisation. We want to hear every voice, listen to all the ideas and make sure everyone’s work is seen and valued. Our Commitment to Inclusion At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

En tant que Développeur augmenté par l'IA, vous concevez, développez et livrez des solutions logicielles en tirant parti de workflows de codage agentique avancés. Vous intégrez une équipe qui opère déjà un setup multi-agent Claude Code personnalisé en production. Vous contribuez à faire évoluer cette infrastructure et à définir la prochaine génération du développement augmenté par l'IA au sein de LCI Éducation. RESPONSABILITÉS - Développer et livrer des fonctionnalités logicielles en utilisant des workflows de codage agentique (génération de code à partir de spécifications, exécution de tâches multi-étapes et résolution autonome de problèmes); - Concevoir et configurer des workflows multi-agents adaptés aux besoins de la plateforme numérique LCI; - Contribuer à l'évolution du setup multi-agent Claude Code existant en production (agents spécialisés, skills, hooks); - Appliquer des pratiques de prompt engineering avancées dans le cadre du développement logiciel (system prompts, sorties structurées, raffinement itératif); - Architecturer, construire et déployer des solutions sur une plateforme composable moderne (MACH) propulsée par Uniform, Vercel, Coveo, Segment et Dynamics 365; - Participer au développement piloté par les spécifications (spec-driven development) en transformant des exigences structurées en code fonctionnel via des agents IA; - Collaborer avec les équipes internes pour identifier les opportunités d'intégration de l'IA dans les processus de développement; - Partager les bonnes pratiques et contribuer à l'évolution de la culture IA au sein de l'équipe. EXIGENCES - Diplôme en informatique, génie logiciel ou dans un domaine connexe, ou expérience équivalente démontrée; - Minimum 2 à 5 ans d'expérience pratique en développement logiciel dans un environnement web moderne; - Expérience concrète avec des workflows de codage agentique et des outils de développement augmenté par l'IA (Claude Code, Cursor, Lovable, Supabase ou similaires); - Maîtrise de TypeScript / JavaScript dans un stack web moderne; - Familiarité avec l'architecture composable / MACH (CMS headless, API-first, microservices) et les plateformes de déploiement modernes (Vercel, Next.js); - Maîtrise de la langue française (oral et écrit); - Maîtrise de la langue anglaise au niveau professionnel (oral et écrit). Ce rôle implique des interactions fréquentes avec des clients et des partenaires internes et externes à l'échelle nationale et mondiale. La compétence professionnelle en anglais est donc une exigence pour ce rôle. AVANTAGES - Poste permanent, temps plein; - À distance ; - Assurance collective, incluant un PAE et la télémédecine; - Régime d'épargne à la retraite; - Programme de santé et mieux-être. - Congés supplémentaires pour la période des fêtes - entre Noel & Jour de l'an. LCI Éducation souscrit à un programme d'accès à l'égalité en emploi et les membres des groupes visés, à savoir les femmes, les personnes handicapées, les personnes autochtones, les minorités visibles et les minorités ethniques, sont encouragées à soumettre leurs candidatures. Si vous êtes une personne handicapée, vous pouvez recevoir, sur demande, de l'assistance pour le processus de présélection et de sélection.