Senior Manager, Commercial AI & Data Innovation

Nestlé

Solon (OH)

On-site

USD 190,000 - 240,000

Full time

13 hours ago
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Benefits offered by this job

401k with company match
Healthcare coverage
Performance-based incentives

Job summary

Nestlé USA seeks a senior leader to oversee Commercial advanced analytics and AI/GenAI strategy. You will bridge commercial stakeholders with IT & Digital, identify opportunities, and guide delivery partners to implement value-driven analytics and AI capabilities.

Strong data science background and sales knowledge are required. You will collaborate with the Director of Business Intelligence & Data Analytics to drive innovation within Nestlé's Center for Demand Generation, shaping use cases and

Qualifications

  • Bachelor's degree required, preferably in CS, Engineering, Math, Statistics, Data Science, or related field.
  • 7+ years partnering with stakeholders to translate business needs into technical solutions.
  • 5+ years leading teams delivering enterprise scale analytics and AI/GenAI initiatives.

Responsibilities

  • Partner with commercial functions to translate needs into actionable analytics solutions.
  • Lead AI/GenAI projects with IT & Digital teams and external partners.
  • Drive adoption and measure business impact of analytics initiatives.
  • Represent Commercial in the Data Council to align analytics priorities.

Skills

Analytics
Leadership
Communication
Strategic thinking
AI/GenAI
Cross-functional teamwork
Python
SQL
R

Education

Bachelor's degree

Tools

LLM tools
Data visualization

Job description

Nestlé USA seeks a senior leader to oversee Commercial advanced analytics and AI/GenAI strategy. You will bridge commercial stakeholders with IT & Digital, identify opportunities, and guide delivery partners to implement value-driven analytics and AI capabilities.

Strong data science background and sales knowledge are required. You will collaborate with the Director of Business Intelligence & Data Analytics to drive innovation within Nestlé's Center for Demand Generation, shaping use cases and

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