Commercial AI & GenAI Strategy Lead

Nestlé

Arlington (TX)

On-site

USD 190,000 - 240,000

Full time

14 days+

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Benefits offered by this job

401k with company match
Healthcare coverage

Job summary

Nestlé USA is seeking a senior leader to oversee Commercial advanced analytics and AI/GenAI strategy. You will bridge commercial stakeholders and IT & Digital teams, guiding use cases from conception to deployment to drive growth and operations efficiency.

The ideal candidate blends a strong data science background with deep commercial/sales knowledge and a proven talent for leading innovative, high-impact analytics programs in a consumer products environment.

Qualifications

  • Bachelor's degree required, preferably in Computer Science, Engineering, Mathematics, Statistics, Data Science or related field.
  • MBA or advanced degree is a strong plus.
  • 7+ years partnering with cross-functional stakeholders to translate business needs into technical solutions and drive adoption.
  • 5+ years leading teams delivering enterprise scale analytics/AI initiatives with strong adoption.

Responsibilities

  • Lead and translate business requirements into technical specs for advanced analytics and AI/GenAI initiatives.
  • Oversee development and deployment of AI/GenAI solutions with IT & Digital teams and external partners.
  • Drive adoption and measurable ROI by aligning solutions to commercial priorities.
  • Represent Commercial stakeholders in the Data Council to align analytics with enterprise priorities.
  • Manage a team of analysts and advisors to deliver scalable analytics outcomes across functions.
  • Ensure testing, governance, and alignment with IT & Digital policies.

Skills

Advanced analytics
GenAI
Stakeholder leadership
Executive storytelling
Agile

Education

Bachelor's degree in CS/Engineering/Math/DS
MBA (strong plus)

Tools

R
Python
SQL

Job description

Nestlé USA is seeking a senior leader to oversee Commercial advanced analytics and AI/GenAI strategy. You will bridge commercial stakeholders and IT & Digital teams, guiding use cases from conception to deployment to drive growth and operations efficiency.

The ideal candidate blends a strong data science background with deep commercial/sales knowledge and a proven talent for leading innovative, high-impact analytics programs in a consumer products environment.

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