Semantic Layer Data Product Lead

Nestlé S.A.

Arlington (VA)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

401k with company match

Healthcare coverage

Performance-based incentives

Total rewards package

Job summary

Nestlé IT & Digital Americas is seeking a Data Product Expert to own and evolve the enterprise semantic layer for Nestlé USA. You will define a business-friendly data model powering trusted analytics, AI-ready data consumption, and scalable data products across the organization.

You will collaborate with business, analytics, and engineering teams to ensure standardized metrics, governed data assets, and high-performance access for analytics, ML pipelines, and GenAI use cases.

Qualifications

Bachelor's degree is required or equivalent.
7+ years of experience in data analytics, BI, semantic modeling, or data products.
5+ years of hands-on experience with modern data/BI platforms: Snowflake, Databricks, Power BI, Tableau, and dbt or similar.
3+ years of experience building semantic layers, enterprise KPI and metrics frameworks, and governed data models.

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.