Expert Data Product (Semantic Layer)

Nestle Operational Services Worldwide SA•Arlington, VA

2d•$140,000 - $200,000

About The Position

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé. This position is not eligible for Visa Sponsorship. Position Summary 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.

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

Nice To Haves

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

Responsibilities

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