Senior
Talan is an international consulting and technological expertise group that accelerates its clients' transformation through innovation, technology, and data.
For over 20 years, Talan has been advising and supporting companies and public institutions in implementing their transformation and innovation projects in France and internationally.
Present on five continents, in 20 countries, the Group, certified Great Place To Work, has over 7,100 employees and achieved a turnover of 850 million euros by the end of 2024, with ambitions to exceed one billion euros by 2025.
Equipped with a Research and Innovation Center, Talan places innovation at the heart of its development and operates in areas of technological change such as Artificial Intelligence, Data Intelligence, Blockchain, to serve the growth of large groups and ETIs in a committed and responsible approach.
By placing "Positive Innovation" at the heart of its strategy, the Talan Group is convinced that technology multiplies its potential for society by serving humanity.
Talan is a disability-friendly company, signatory of the Diversity Charter in business. So if these values resonate with you, join us!
Find our CSR commitments here and our diversity actions here.
As part of the development of our activities in artificial intelligence and data science, we are looking for a Senior AI Product Owner Consultant with confirmed experience of over 5 years in managing AI products and projects.
The ideal profile has a Data Scientist background who then 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 a 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 performance indicators (KPIs) aligned with the company's or client's strategy.
Frame 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 for AI teams.
Build AI roadmaps by balancing 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, arbitrate between innovation, technical debt, and business needs.
Facilitate agile rituals (sprint planning, reviews, demos, retrospectives) and ensure continuous communication with stakeholders.
Ensure 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.
Oversee implementation to supervise the realization of automation projects and make them sustainable.
Participate in technological watch 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 helping design technical offers and proposals.
#TalanFrance #LI-EL1
Hold a Master's degree or equivalent (Engineering school, university, or doctorate) 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 a 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 required.
PSPO certification would be a plus.
Data & AI
Confirmed experience (3+ years) in Data Science / Machine Learning / Deep Learning / IAGen.
Good understanding of AI project lifecycles: collection, preparation, training, evaluation, industrialization, and monitoring of drift management/anticipation.
Mastery of key concepts of modern AI: generative models (LLM, RAG), NLP, computer vision, constrained optimization, explainable AI.
Ability to discuss and challenge AI teams on frameworks (Python, scikit-learn, TensorFlow, PyTorch, Spark, etc.).
Knowledge of cloud AI tools (AWS Sagemaker/Bedrock, Azure ML/OpenIA, 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 identify and frame business use-cases. Experienced in ideation workshops and detecting AI use cases.
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, Data Act / AI Act, and issues of responsible and explainable AI.
Awareness of cybersecurity and data governance aspects.
Expected personal qualities
Excellent oral and written communication, strong 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 vulgarize complex concepts.
Curiosity, innovation, and taste for technology.
Results-oriented and client satisfaction-focused mindset.
Advantages:
Training plan to support your career (editor training, certifications) thanks to our partnerships granting us a privileged partner position, and proximity management by experts.
Modern premises in the city center.
Top 5 of the Great Place to Work ranking.
Remote work up to 5 days depending on missions, equipment bonus of €100.
Mobility in France and abroad.
Top 1% of companies evaluated by Ecovadis in the social, environmental, and ethical fields.
Restaurant vouchers, holiday bonus, 50% public transport reimbursement, mutual insurance.
Disability support (consultant dedicated to employees with disabilities and their caregivers).
Employee shareholding.
Referral bonuses.
RTT (Reduction in working time).
RECRUITMENT PROCESS:
The recruitment team is committed to offering you a fast and smooth recruitment process.
1 HR interview via Teams (45min)
1 technical test
1 operational interview with the domain manager, at the headquarters (1 hour)
1 interview with the head of the division, at the headquarters (1 hour)
Salary: EUR 55000 - 70000 YEARLY
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