Moët Hennessy Regional Data Lead
- Employment
- Full-Time
- Seniority
- Senior
- Compensation
- $130,000–163,000/year
- Department
- IT & Technology Systems
- Industry
- Wines, Spirits & Gastronomy
- Posted
- Jul 17, 2026
About Moët Hennessy
Moët Hennessy, the wines and spirits division of LVMH, brings together some of the world’s most storied maisons, uniting centuries of craftsmanship with a distinctly contemporary spirit. As an employer, it offers an international environment where heritage, excellence, creativity, and responsible innovation shape every profession, from vineyards and cellars to marketing, distribution, finance, and hospitality. The group values talent capable of honoring exceptional savoir-faire while anticipating the expectations of discerning consumers worldwide. Through its global reach, entrepreneurial culture, and commitment to sustainability, Moët Hennessy provides careers defined by prestige, purpose, and the pursuit of enduring luxury.
Regional Data Lead at Moët Hennessy USA in New York. Lead data strategy and analytics for the Americas with $130K–$163K salary plus bonus. Hybrid role. Apply now.
Role & Responsibilities
- Develop and execute regional data strategy aligned with global and regional business priorities, identifying opportunities to leverage data, analytics, and AI to drive business value and process improvement
- Partner closely with business stakeholders, executives, IT, and central data teams to identify and onboard Data Owners and Data Product Owners, support data literacy, and ensure effective integration of systems and platforms across the region
- Lead the collection, analysis, and interpretation of data to deliver actionable insights, overseeing the development of analytics tools, data pipelines, and scalable solutions supporting customer acquisition, operational efficiency, and key business metrics
- Act as the regional point of contact for Data & AI, supporting AI and advanced analytics initiatives from framing through deployment, advising teams on opportunities and governance, and driving change management and operational readiness
- Ensure strong data governance across regional data assets by promoting best practices in data management, reporting, data quality, security, PII documentation, Responsible AI assessment, and compliance with organizational security guidelines
- Foster collaboration and consistency across businesses and countries by participating in portfolio syncs, building local Data & AI communities, sharing best practices, and shaping a scalable regional data ecosystem
- Manage end-to-end project delivery of data solutions, from business case development through user adoption and ongoing operation, coordinating business and IT stakeholders across entities in the Americas
- Coordinate external vendors and internal teams to ensure solutions deliver expected business value and achieve defined objectives and ROI
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field
- Minimum 8+ years of proven experience in data management, analytics, or similar role, preferably in a regional or multi-market context
- Proficiency in data analytics tools and platforms including SQL, Python, and Power BI
- Experience with data governance, data privacy, and compliance requirements
- Functional understanding of SAP ERP, CRM, and SCM systems
- Expertise in Google Cloud Platform (GCP), data governance, and data mesh principles
- Proven root cause analysis capabilities on internal and external data and processes
- Experience with structured and unstructured data
- Demonstrated ability to translate complex data findings into actionable business recommendations
Skills
Experience
Minimum 8+ years of proven experience in data management, analytics, or similar role, preferably in a regional or multi-market context. Demonstrated expertise in enterprise business processes including Sales and Distribution, Procure-to-Pay, Record-to-Report cycles, and matrix organization leadership with strong stakeholder management capabilities.
Education
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
Workplace
This position is based in New York, New York, USA.
Compensation
The base compensation for this position ranges from USD 130,000 to USD 163,000 per annum.
Benefits
Medical, dental, vision, and mental health support resources; fertility and family building programs; competitive salary with performance bonus; retirement savings plan with company match; financial coaching; legal resources; commuter benefits; pet, renter, home, and auto group rates; life insurance and disability coverage; hybrid work schedule; generous paid time off policy including vacation, sick leave, personal and wellness days; paid parental leave; opportunities for training and continuing education; tuition reimbursement; Plum Benefits and Perkspot employee perks.
Culture
Moët Hennessy offers a workplace culture rooted in heritage, craftsmanship, and the art of hospitality, where employees contribute to some of the world’s most prestigious wines and spirits Maisons. The environment combines international collaboration with a strong commitment to excellence, sustainability, and innovation, encouraging teams to preserve tradition while shaping the future of luxury experiences.
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 Strategy Manager», «Regional Analytics Director», «Data Operations Lead», «Enterprise Data Manager», «Data Governance Lead», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.