Position SummaryJoin 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
Requirements- Bachelor's degree in Computer Science, Information Systems, Business, or a related field
- 7+ years of experience in data analytics, BI, semantic modeling, or data products
- 5+ years of hands-on experience with modern data and BI platforms such as Snowflake, Databricks, Power BI, Tableau, and dbt or similar semantic technologies
- 3+ years of experience building semantic layers, enterprise KPI and metrics frameworks, and governed data models
Other- Foundational knowledge of machine learning and Generative AI concepts, including how semantic models and data structures support AI/ML workflows such as consistent metrics, feature readiness, explainability, and GenAI use cases like RAG and embeddings, is preferred
- Working knowledge of Python for data processing, automation, or analytics is preferred
- Familiarity with governance, metadata, lineage, documentation, and data quality frameworks is preferred
- Experience working in environments where data supports advanced analytics, predictive models, or AI-driven insights is preferred
Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $140,000 to $200,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.
Job Requisition: 413625
