Moët Hennessy Finance Product Owner Apprentice
- Location
- Employment
- Internship
- Seniority
- Intern
- Department
- Finance, Accounting & Revenue Management
- Industry
- Wines, Spirits & Gastronomy
- Posted
- Apr 30, 2026
About Moët Hennessy
Moët Hennessy is the wines and spirits arm of the LVMH Group, comprising leading maisons in champagne, wine and premium spirits. The organisation combines artisanal savoir-faire with international commercial reach and a strong focus on brand-driven excellence, sustainability and cross-maison career mobility within the LVMH ecosystem.
Moët Hennessy — Finance Product Owner Apprentice in Paris (7th arrondissement). 12‑month apprenticeship starting Sept 2026.
Role & Responsibilities
- Support Data Product Owners to design, deliver and iterate finance data products (Power BI dashboards and reports) that track sales, marketing and operating-cost performance.
- Promote adoption of finance data tools across the finance community through targeted change management, training and best-practice sharing.
- Automate routine finance workflows and manage access rights to ensure data access security and compliance with audit recommendations.
- Create and maintain documentation and knowledge assets for finance data tools to ensure long-term usability and continuity.
- Implement monitoring dashboards (examples: leavers/movers access monitoring; data refresh job scheduler issues) and deliver additional Power BI requests as validated by stakeholders.
Qualifications
- Enrolled in a Master’s programme in engineering, business (finance major), data/project management, computer science or a closely related field and eligible for an apprenticeship contract in France.
- Strong interest in user experience and digital transformation within finance.
- Analytical mindset with comfort manipulating data; prior exposure to BI or reporting projects preferred.
- Excellent written communication and organisational skills; collaborative team player.
- Curious, reliable and motivated to learn in a fast-moving international environment.
Skills
Experience
Entry-level — beginner. Suitable for a candidate with academic project experience or short internships in finance, analytics or BI; no senior professional experience required.
Education
Currently enrolled in a relevant Master’s programme (Engineering, Business school with a finance major, Data/Project Management, Computer Science or equivalent) and eligible for an apprenticeship (alternance) in France.
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Benefits
75% reimbursement of public transportation costs; 50% contribution to meal vouchers (Titre Restaurant); up to 2 days remote work per week.
Culture
Moët Hennessy fosters a heritage-driven yet entrepreneurial culture where craftsmanship and commercial ambition coexist. As part of LVMH, the organisation emphasises sustainability, cross-maison mobility and a multicultural, inclusive workplace that supports professional development across global teams.
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 Apprentice», «Finance BI Apprentice», «Business Performance Product Owner (Apprenticeship)», «Finance Data Analyst Apprentice», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.