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Sr. Manager, Data Product Management (Commercial Strategy)

LVMH - Moet Hennessy
New York, NY Full Time
POSTED ON 2/2/2025
AVAILABLE BEFORE 5/2/2025

Education :

Bachelor's degree in a related field required.

Professional Experience & Skills :

  • 8 years of data experience in a packaged goods environment, building, deploying, and activating data products in service of business outcomes; global experience preferred.
  • Experience with the following tools are required : GCP, PowerBI.
  • Experience with the following market suppliers and technologies preferred : AWS, Azure, Databricks, BigQuery, Tableau, Dataiku, Data Robot, Alteryx
  • Wines and spirits experience in the U.S. three-tier system preferred.

Practical / Technical Knowledge

  • Proven functional expertise.
  • Ability to develop, sell, and drive best practices and ways of working to elevate the broader functional impact.
  • Success in stakeholder management to drive towards longer-term solutions while delivering quick wins.
  • A passion for successfully navigating the challenges of driving transformation within an organization based on data capabilities.
  • A track record of driving results in a complex, multi-stakeholder, volatile, and uncertain environment.
  • Courage and resilience to communicate objectively and with tact 'hard truths' to key organizational stakeholders
  • Empathetically communicate data and business recommendations to influence internal and external stakeholders
  • Ability to educate and influence business partners at all levels to act in accordance with data best practices.
  • Proven ability to manage relationships with cross-functional teams, especially business leaders, to elevate the strategic impact of the function.
  • Ability to maintain awareness and effectively leverage and prioritize trends and influences in the consumer packaged goods space.
  • Progressive thought leadership and strong commercial acumen with the ability to develop and deliver high impact consumer products insights with a proven record of taking calculated risks for long-term benefit.
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