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Join Nestlé IT & Digital, supporting NUSA, as a Data Product Expert accountable for managing and evolving our semantic layer as a product.
You'll define the business-friendly data model that powers trusted analytics and AI-ready data consumption across Nestlé USA, turning business definitions, KPIs, and governance requirements into a scalable semantic layer that fuels reporting, self-service analytics, machine learning, and Generative AI.
Partnering across business, analytics, and engineering teams, you'll keep the semantic layer standardized, governed, and interpretable so the business can make faster, higher-quality decisions.
You'll also liaison with the zone to ensure alignment with the global organization.
• Own the strategy, roadmap, and backlog for the enterprise semantic layer
• Standardize business definitions, KPIs, and metrics across reporting, analytics, and AI/ML use cases
• Translate business processes and requirements into scalable semantic models and governed data products
• Partner with business stakeholders, data engineering, architects, and BI teams to optimize usability, performance, and adoption
• Establish governance standards for metric logic, naming, lineage, documentation, access, and data quality
• Enable semantic structures that support explainability, reuse, and high-performance access for analytics, ML pipelines, and GenAI applications
• Drive training, documentation, and adoption of governed semantic models and AI-ready data assets
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Nestlé is a Swiss multinational food and beverage company and the world's largest food company by revenue, producing a wide range of products including baby food, bottled water, cereals, chocolate, coffee, dairy products, and pet food.
Visit company websiteJobs and hiring trendsUSD 200000 / year
Senior · 7+ years experience
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