Regional Data Lead – Americas
Listed on 2026-07-21
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IT/Tech
Data Analyst, Data Science Manager
Are you ready for a world of possibilities?
You embark on a career journey with the leaders of luxury wines, champagnes, and spirits, within the prestigious LVMH Group. From nature to communities, you’ll craft unforgettable experiences that drive the collective success of our 26 Maisons – each one with a unique heritage and set within the most remarkable terroirs the world has to offer.
You enter a world of possibility where career development opportunities across our Maisons, our 5 global regions, and the entire LVMH Group, are unmatched. You join a passionate community of talents that spans four generations and combines a wealth of roles and skillsets from the roots of the vine to the glass and everything in between. You discover our essential
relationship with our terroirs, and how we nurture and preserve the soils which are the source of our singular products. Our global Living Soils Living Together program has four key commitments for 2030: regenerating soils, mitigating our climate impact, engaging society, and empowering our people. You will share in our passion for hosting, for art-de-vivre as well as our pride in creating products that celebrate life’s most memorable milestones, while always experienced through measured, responsible tasting.
Moët Hennessy is proud to promote a diverse, equitable and inclusive working environment for all. As an employer, Moët Hennessy offers unique journeys throughout its global ecosystem, opportunities to develop new skills and grow professionally. If you want to inspire and be inspired, to craft experiences and experience the best in craftsmanship, this is where you’ll flourish.
The Regional Data Lead will collaborate across all business units—including Maisons and Discos—to optimize, design, and build data flows from the ground up where necessary. Working within a globally integrated information technology team, this role ensures consistent data delivery across the business and serves as a critical bridge between central data teams and regional business units. The Regional Data Lead ensures regional data initiatives are aligned with business objectives and that data-driven insights inform strategic decision-making and operational excellence.
Office/
Location:
Hybrid 3x a week based out of NYC Office
Compensation: $130,000-$163,000/ annually + bonus
Job 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, process improvement, and data centricity.
- Partnered closely with business stakeholders, executives, IT, and central data teams to identify and onboard Data Owners and Data Product Owners, support data literacy, address data needs, and ensure effective integration of systems and platforms across the region.
- Lead the collection, analysis, and interpretation of data to deliver actionable insights, while 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.
- Ensured 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 helping shape a scalable regional data ecosystem adapted to both common and market-specific needs.
- Applied expertise in GCP, data governance, data mesh principles, Agile/SaFe delivery, automation, and infrastructure scalability to improve data operations, reporting, and cross-functional execution
- Manage end-to-end project delivery of data solutions, from business case development through user…
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