Moët Hennessy Data & AI Product Owner
- Location
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Wines, Spirits & Gastronomy
- Posted
- Apr 24, 2026
About Moët Hennessy
Moët Hennessy is the wines and spirits division within the LVMH group, bringing together prestigious maisons such as Moët & Chandon, Hennessy, Dom Pérignon and Krug. As part of a global luxury conglomerate, its Information Services & Technology teams support international, cross-functional initiatives that combine heritage craftsmanship with data-driven innovation.
Moët Hennessy — Paris: Data & AI Product Owner (1‑year alternance) to lead Synapse, automating cost & value tracking for Data/AI solutions.
Role & Responsibilities
- Lead product discovery: run co‑creation and ideation workshops, define user personas and consolidate stakeholder needs across Data/AI functions.
- Translate business needs into detailed functional specifications and an executable product roadmap, using agile increments to validate hypotheses.
- Collaborate with data architects and SI architects to design the target solution architecture and align it with the IT ecosystem (including interfaces with Gov360/Vista).
- Define and maintain the data model and ingestion patterns in partnership with Tech Lead Data, ensuring scalability for short‑ and long‑term use cases.
- Act as the primary interface to development teams: own the product vision, prioritise user stories, accept and test deliverables, and organise user feedback loops.
- Instil continuous improvement through structured user testing sessions, analyse feedback and adapt priorities (decommissioning, maintenance allocation).
- Drive the industrialisation of cost, infrastructure (FinOps) and usage data collection to inform investment and resource allocation decisions.
Qualifications
- Enrolled in an engineering school or Master 2 (MSc) with a specialisation in computer science, data engineering or equivalent.
- Solid understanding of data and AI topics with a clear business orientation and analytical mindset.
- Professional proficiency in French and English (oral and written).
- Hands‑on knowledge of SQL and cloud data environments, ideally GCP and BigQuery.
- Familiarity with data engineering concepts (ETL, data modelling, automation) and basic Python development is a plus.
- Interest or first experience in product ownership and agile project management; strong communication and stakeholder management skills.
Skills
Experience
Early‑career: candidate may be a recent graduate or current Master/engineering student with internship experience or demonstrable motivation for product ownership in a data/AI context.
Education
Enrolled in an engineering programme or Master 2 (MSc) in computer science, data engineering or equivalent.
Workplace
This position is based in Paris, Île-de-France, France.
Culture
Moët Hennessy combines the heritage and refinement of great maisons with a forward‑looking, international mindset. The workplace emphasises cross‑disciplinary collaboration, high standards of craftsmanship and a culture of innovation within the LVMH ecosystem.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Moët Hennessy, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Product Owner», «AI Product Owner», «Product Owner — Data Platforms», «Product Manager — Data & AI», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.