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Core Competencies
Role fitCore 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 resumeApplicant 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 & technologiesPythonSQL
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
