Expert Data Product (Semantic Layer)

Nestlé S.A.

Arlington (TX)

On-site

USD 140,000 - 200,000

Full time

5 days ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Nestlé IT & Digital Americas is seeking a Data Product Expert to own and evolve the enterprise semantic layer as a product for Nestlé USA. You will translate business definitions, KPIs, and governance into scalable data models powering reporting, analytics, ML, and GenAI across Nestlé USA.

Collaborate with business, analytics, and engineering teams to standardize metrics, ensure governance, and drive adoption of semantic models.

Qualifications

  • 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 hands-on with modern data/BI platforms such as Snowflake, Databricks, Power BI, Tableau, and dbt or similar semantic technologies.
  • 3+ years building semantic layers, enterprise KPI/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 into scalable semantic models and governed data products.
  • Partner with 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 apps.
  • Drive training, documentation, and adoption of governed semantic models and AI-ready data assets.

Skills

Data analytics
BI platforms
Semantic modeling
Data products

Education

Bachelor's degree in Computer Science, Information Systems, Business, or related field

Tools

Snowflake
Databricks
Power BI
Tableau
dbt

Job description

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.

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
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.

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.

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.

Nearest Major Market: Arlington Virginia
Nearest Secondary Market: Washington DC

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Expert Data Product (Semantic Layer)
Expert Data Product (Semantic Layer)

Nestlé S.A. • Arlington (VA)

On-site
USD 140,000 - 200,000
401k with company match
Healthcare coverage
Performance-based incentives
+1
Expert Data Product (Semantic Layer)
Expert Data Product (Semantic Layer)

Nestle • Arlington (VA)

On-site
USD 140,000 - 200,000
401k with company match
Healthcare coverage
Expert Data Product (Semantic Layer)
Expert Data Product (Semantic Layer)

Nestlé IT & Digital Americas • Arlington (VA)

On-site
USD 140,000 - 200,000
Expert Data Product - Data Lake
Expert Data Product - Data Lake

Nestlé S.A. • Arlington (VA)

On-site
USD 140,000 - 200,000
401k with company match
Healthcare coverage
Competitive total rewards package
Expert Data Product - Data Lake
Expert Data Product - Data Lake

Nestlé S.A. • Arlington (TX)

On-site
USD 140,000 - 200,000
401k with company match
Healthcare coverage
Competitive total rewards package
Expert Data Product - Data Lake
Expert Data Product - Data Lake

Nestlé IT & Digital Americas • Arlington (VA)

On-site
USD 140,000 - 200,000
401k with company match
Healthcare coverage
Competitive total rewards
Expert Data Scientist (AI)
Expert Data Scientist (AI)

Nestlé S.A. • Arlington (VA)

Hybrid
USD 140,000 - 196,000
Expert Data Scientist (AI)
Expert Data Scientist (AI)

Nestlé S.A. • Arlington (TX)

Hybrid
USD 140,000 - 196,000
401k with company match
Healthcare coverage
Expert Data Scientist (AI)
Expert Data Scientist (AI)

Nestle • Arlington (VA)

Hybrid
USD 140,000 - 196,000
Expert Data Product - Data Lake
Expert Data Product - Data Lake

Nestle • Arlington (VA)

On-site
USD 140,000 - 200,000