Senior AI Product Owner Consultant - M/F - CDI

Talan is an international consulting and technological expertise group that accelerates its clients' transformation through the levers of innovation, technology, and data. For over 20 years, Talan has advised and supported companies and public institutions in implementing their transformation and innovation projects in France and internationally. Present on five continents, in 20 countries, the Group is Great Place To Work certified, has more than 7100 employees, achieved a turnover of 850 million euros at the end of 2024, and aims to exceed the billion-euro mark by 2025. Equipped with a Research and Innovation Center, Talan puts innovation at the heart of its development and operates in the fields of technological shifts such as Artificial Intelligence, Data Intelligence, and Blockchain, to serve the growth of large groups and mid-cap companies in a committed and responsible approach. By placing "Positive Innovation" at the heart of its strategy, the Talan Group is convinced that it is by serving humanity that technology multiplies its potential for society. Talan is a disability-friendly company and a signatory of the Corporate Diversity Charter. So if these values resonate with you, join us! Find our CSR commitments here and our actions in favor of diversity here.

As part of the development of our artificial intelligence and data science activities, we are looking for a Senior AI Product Owner Consultant with proven experience of more than 5 years in AI product and project management.

The ideal profile has a Data Scientist background and has subsequently evolved into an AI PO role, capable of understanding the technical complexity of models, guiding development teams, and driving the business value of AI solutions for clients. The AI PO acts as an orchestra conductor between technical teams (Data Scientists, Data Engineers, MLOps) and business stakeholders, ensuring the relevance, feasibility, and adoption of artificial intelligence solutions. Main Missions Define the AI product vision, objectives, and key performance indicators (KPIs) aligned with the company or client strategy. Define AI use cases with business units: identification, qualification, and prioritization according to business value and technical feasibility. Analyze, challenge, and improve business processes by integrating artificial intelligence and automation solutions. Translate business needs into functional and technical requirements understandable by AI teams. Build AI roadmaps by arbitrating between business value, timeline, and implementation cost. Collaborate closely with Data Science, Data Engineering, and MLOps teams to ensure the consistency of deliverables with the product roadmap. Prioritize the AI / data backlog, arbitrating between innovation, technical debt, and business needs. Facilitate agile rituals (sprint planning, reviews, demos, retrospectives) and ensure continuous communication with stakeholders. Ensure the ethical, regulatory, and technical compliance of AI products (GDPR, explainability, responsible AI). Support business units in understanding and adopting AI solutions through demonstrations, training, or communication materials. Drive implementation to supervise the realization of automation projects and make them sustainable. Participate in technological monitoring and propose innovations on new AI approaches (LLM, RAG, NLP, generative AI, optimization, etc.). Contribute to the pre-sales phase by identifying AI opportunities and assisting in the design of offers and technical proposals.

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Holder of a Master's degree or equivalent (Engineering school, university, or PhD) in Data Science, Applied Mathematics, Computer Science, or AI. You have 5 to 10 years of professional experience, including at least 3 years as a Data Scientist and 2 years as an AI Product Owner or AI Product Manager. Proven experience in high-stakes AI projects (industrialization, production, use case management). Knowledge of one or more business sectors (energy, industry, finance, transport, health...). Professional English is mandatory. PSPO certification would be a plus. Data & AI Proven experience (3+ years) in Data Science / Machine Learning / Deep Learning / GenAI. Good understanding of AI project lifecycles: collection, preparation, training, evaluation, industrialization, and monitoring (drift management/anticipation). Mastery of key concepts of modern AI: generative models (LLM, RAG), NLP, computer vision, constrained optimization, explainable AI. Ability to engage and challenge AI teams on frameworks (Python, scikit-learn, TensorFlow, PyTorch, Spark, etc.). Knowledge of AI cloud tools (AWS Sagemaker/Bedrock, Azure ML/OpenAI, GCP Vertex AI). Understanding of industrialization challenges (MLOps) and associated tools (MLflow, Airflow, Docker, Kubernetes, CI/CD). Product Management & Methodology Solid experience in agile management of AI / data projects (Scrum, Kanban and/or Safe). Strong ability to elicit and define business use cases. Experienced in ideation workshops and AI use case detection. Ability to structure an AI roadmap and ensure backlog prioritization. Skills in business value analysis and impact measurement of AI models. Excellent communication skills with technical teams and business sponsors. Mastery of project management tools: Jira, Confluence, Miro, Azure DevOps... Regulation & Governance Good knowledge of GDPR, the Data Act / AI Act, and the issues of responsible and explainable AI. Sensitivity to cybersecurity and data governance aspects.

Expected Personal Qualities Excellent oral and written communication, pedagogical skills. Natural leadership and ability to unite multidisciplinary teams. Strategic vision and ability to challenge business needs. Scientific rigor, analytical mind, and ability to simplify complex concepts. Curiosity, innovation, and a passion for technology. Results-oriented mindset and customer satisfaction.

Benefits: Training plan to support your career (vendor training, certifications) thanks to our partnerships granting us a preferred partner status, and close management by experts. Modern offices in the city center. Top 5 in the Great Place to Work rankings. Remote work up to 5 days depending on missions, €100 equipment allowance. Mobility in France and abroad. Top 1% of companies evaluated by Ecovadis in the social, environmental, and ethical fields. Restaurant vouchers, holiday bonus, 50% transport (public transport subscription), health insurance. Disability support (dedicated consultant for employees with disabilities and caregivers). Employee shareholding. Referral bonus. RTT (Reduced working time).

RECRUITMENT PROCESS: The recruitment team is committed to providing you with a fast and smooth recruitment process. 1 HR interview via Teams (45min) 1 technical test 1 operational interview with the domain manager, at headquarters (1 hour) 1 interview with the division director, at headquarters (1 hour)