Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Nestle

Senior Manager – Data Science, AI Innovation

Nestle

. Oversee Commercial advanced analytics and AI/GenAI strategy .

Posted 9/30/2026full-timeUnited StatesSenior💰 $190,000 - $240,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in overseeing advanced analytics and AI/GenAI strategies, translating business needs into technical solutions, and leading multifunctional teams to drive adoption of data-driven initiatives. Proficient in implementing machine learning models and agentic workflows to enhance commercial operations.

Highest-signal resume keywords
Advanced Analytics StrategyMachine Learning ImplementationCross-Functional Stakeholder EngagementData Governance and QualityAgile Development Methodologies

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
RPythonSQLMachine LearningAIGenAIData IntegrationData QualityCognitive TechnologyVisualization Techniques
Soft Skills
LeadershipCommunicationStrategic ThinkingProblem SolvingCollaboration
Certifications & Qualifications
Bachelor's DegreeMBA or Advanced Degree
Industry Keywords
Commercial FunctionsConsumer ProductsData AnalyticsDigital TransformationAutomation

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Oversee Commercial advanced analytics and AI/GenAI strategy
  • Act as the primary bridge between Commercial business stakeholders and IT/technical delivery teams
  • Identify and prioritize data science, AI, and GenAI projects aligned with Commercial strategic priorities
  • Lead development and implementation of agentic workflows, LLM-powered assistants, and machine learning models
  • Translate ambiguous business problems into clear technical specifications and measurable business outcomes
  • Identify, evaluate, and champion emerging AI, GenAI, and automation capabilities
  • Drive implementation, operationalization, and adoption of advanced analytics and AI/GenAI solutions
  • Advise commercial leaders on prioritization and feasibility of analytics and AI initiatives
  • Represent Commercial on Nestlé’s cross-functional Data Council
  • Lead analysts and advisors directly and indirectly
  • Report to the Director of Business Intelligence & Data Analytics
  • Boost solution adoption across Nestlé’s Commercial organization

Requirements

What you’ll need
  • Bachelor's degree required, preferably in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field
  • 7+ years of experience partnering with cross-functional stakeholders to translate business needs into technical solutions and drive adoption
  • 5+ years leading effective teams delivering enterprise-scale solutions using emerging technologies, advanced data and automation capabilities, machine learning, AI, GenAI, LLMs, or agentic workflows
  • Demonstrated progression from hands-on technical/data science practitioner to strategic, business-facing leadership
  • Deep understanding of sales, marketing, or broader commercial functions
  • Knowledge of R, Python, and SQL
  • Experience implementing Agile development methodologies and principles
  • Experience advising business stakeholders and senior leaders on data analytics and technology solutions
  • Experience with data governance, data integration, data quality, and measurement
  • Experience building data and analytics organizational strategy and managing multifunctional teams
  • Experience with large datasets from multiple sources and visualization capabilities
  • Experience deploying cognitive technology, ML/AI, automation, and digital user engagement techniques
  • Experience with advanced analytics and/or digital transformation projects preferred
  • 3–5 years leading teams in a consumer products organization preferred
  • Proven track record of developing actionable and profitable strategies that drive business growth
  • MBA or advanced degree is a strong plus

Benefits

Comp & perks
  • Performance-based incentives
  • Bonus eligibility
  • 401(k) with company match
  • Healthcare coverage
  • Competitive total rewards package
  • Inclusive workplace
  • Special accommodations during recruitment