Fashion Group Senior Manager, Business Intelligence & Automation

New York • USA

Tuesday, July 15, 2025

LVMH is a preeminent leader in the luxury sector, celebrated for its iconic brands and steadfast dedication to craftsmanship. Within the Americas, the Fashion Group supports six distinguished Maisons: Fendi, Celine, Givenchy, Loewe, Kenzo, and Emilio Pucci. The team of passionate professionals drives the success of these brands through shared corporate functions, including Finance, IT, and HR. LVMH Fashion Group cultivates a dynamic and collaborative environment with an entrepreneurial spirit, empowering individuals to make impactful contributions.

1. Partner with business leaders to identify use cases for BI, AI, and automation to enhance operational efficiency.
2. Lead discovery workshops and translate business needs into technical solutions and roadmaps.
3. Document solution scope in Business Cases, Project Briefs, and Functional Specs.
4. Introduce AI and workflow automation technologies to support and empower local business teams.
5. Collaborate with LVMH’s AMER Data & AI team to pilot and scale Group-level blueprints locally.
6. Conduct market scans, evaluate new tools and vendors, and lead proofs of concept.
7. Act as a functional Product Owner for the Data & Automation roadmap.
8. Manage and prioritize a backlog of requests, enhancements, and incident resolutions with internal and external development teams.
9. Leverage product and project lifecycles to lead the delivery of BI & automation initiatives from intake to hyper-care.
10. Serve as the technical owner of the LVMH Fashion Group NA Data Platform, ensuring scalability, low-latency, high availability, and continuous updates.
11. Enforce high standards in data quality, availability, and latency across critical datasets.
12. Manage SLA performance and KPIs with support vendors; lead quarterly reviews and continuous improvements.
13. Optimize licenses and total cost of ownership of data and automation tools (FinOps).
14. Act as a point of contact between local business teams, IT, vendors, and Maisons headquarters.
15. Facilitate data strategy alignment between central and local teams.
16. Communicate project updates and performance metrics to executives and business leads.

1. 10+ years of experience in data analytics, business intelligence, and data architecture, preferably in a multi-brand or retail environment.
2. Strong background working with cloud data platforms (preferably GCP), modern ETL tools (e.g., Fivetran, Dataform), and expert-level proficiency in Power BI for enterprise reporting.
3. Proficient in data modeling and scripting using SQL and Python.
4. Experience working with cross-functional teams and managing vendors or offshore delivery teams.
5. Excellent communication skills, with the ability to clearly articulate technical concepts, business impacts, and strategic recommendations to diverse audiences.
6. Proven track record of delivering automation initiatives, including workflow automation, AI/ML pilot projects, or process digitization.

1. Strategic Thinking: Ability to align technical delivery with business priorities and long-term goals.
2. Power BI Mastery: Deep expertise in Power BI Development, PowerBI Administration, including data modeling, report design, performance optimization, and self-service enablement.
3. Technical Acumen: Strong understanding of data warehousing, data pipelines, automation tools, and AI technologies.
4. Leadership: Experience managing small teams or project-based contributors; capable of influencing cross-functional teams without direct authority.
5. Project & Product Management: Skilled in managing the full project lifecycle, prioritizing backlogs, and communicating effectively with stakeholders.
6. Analytical & Communication Skills: Ability to translate business problems into data solutions and present complex ideas clearly to executive and non-technical audiences.
7. Cost Management: Experience managing software licenses, vendor contracts, and optimizing platform cost.

Minimum 10 years of experience in data analytics, business intelligence, and data architecture.

The base compensation ranges from $160,000 to $180,000 annually, dependent on skills and experience, with a comprehensive benefits package.

The position offers a generous benefits package including medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks, and a retirement plan with employer contribution.

The company fosters a dynamic and collaborative environment that encourages an entrepreneurial mindset, empowering individuals to make a difference. Diversity is highly valued, and the company is committed to providing equal opportunities and reasonable accommodations for all employees.