Sr. Manager, Data Product Management (Commercial Strategy)
 LVMH - Moet Hennessy | |
 United States, New York, New York | |
| 250 Greenwich Street (Show on map) | |
 Jan 31, 2025 | |
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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. | |