Sr. Manager, Category Manager

Brobston Group LLC

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Moët Hennessy USA is seeking a Senior Manager, Category Management to lead category strategy and insights, driving value creation and route-to-consumer execution. The role collaborates with internal teams and retailers to develop data-driven selling stories and optimize assortment, pricing, promotion and shelving.

The position is hybrid and based in the NYC office, with responsibilities to scale learnings beyond national accounts and support strategic initiatives across functions.

Qualifications

  • Bachelor’s degree required.
  • 5+ years of category management or similar analytical experience.
  • Strong proficiency with syndicated data sources (e.g., Nielsen, Circana/Numerator, panel and retailer gateways) and ability to extract scalable insights.
  • Advanced Excel skills (PivotTables, VLOOKUPs, macros, large data management, automation) and strong presentation skills.
  • Experience building data-driven selling stories and influencing stakeholders across functions and retailers.
  • Preferred: beverage alcohol (wine/spirits) experience and familiarity with Power BI, Qlik, or Tableau.

Responsibilities

  • Provide category leadership and strategic direction to internal teams and retailer partners to drive premium wine and spirits growth.
  • Prepare and present category-oriented presentations and selling stories that translate syndicated and retailer data into actionable recommendations.
  • Develop shopper and consumer insights to support retail activation, annual planning, and assortment strategies.
  • Track industry, category and company performance via sales reporting, price and distribution tracking, and post-promotion analysis.
  • Define retail clustering and national shelf standards, and collaborate to deploy scalable tools and dashboards with analytics teams.
  • Collaborate cross-functionally to enable innovation commercialization, merchandising standards, and execution benchmarks.

Skills

Category management
Data analysis
Advanced Excel
Presentation skills
Stakeholder influence

Education

Bachelor’s degree

Tools

Power BI
Qlik
Tableau
Nielsen Circana data

Job description

Summary

The Senior Manager, Category Management leads category strategy and insights to drive value creation and route-to-consumer execution for Moët Hennessy USA. This role partners with internal stakeholders and retailers to develop data-driven selling stories, scale learnings beyond national accounts, and optimize assortment, pricing, promotion and shelving. The position is hybrid, based out of the NYC office.

Responsibilities
  • Provide category leadership and strategic direction to internal teams and retailer partners to drive premium wine and spirits growth.
  • Prepare and present category-oriented presentations and selling stories that translate syndicated and retailer data into actionable recommendations.
  • Develop shopper and consumer insights to support retail activation, annual planning, and assortment strategies.
  • Track industry, category and company performance via sales reporting, price and distribution tracking, and post-promotion analysis.
  • Define retail clustering and national shelf standards, and collaborate to deploy scalable tools and dashboards with analytics teams.
  • Collaborate cross-functionally to enable innovation commercialization, merchandising standards, and execution benchmarks.
Requirements
  • Bachelor’s degree required.
  • 5+ years of category management or similar analytical experience.
  • Strong proficiency with syndicated data sources (e.g., Nielsen, Circana/Numerator, panel and retailer gateways) and ability to extract scalable insights.
  • Advanced Excel skills (PivotTables, VLOOKUPs, macros, large data management, automation) and strong presentation skills.
  • Experience building data-driven selling stories and influencing stakeholders across functions and retailers.
  • Preferred: beverage alcohol (wine/spirits) experience and familiarity with Power BI, Qlik, or Tableau.
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