Senior Data Architecture Lead for AI-Ready Supply Chain

Kraft Heinz; Chicago (IL); On-site; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

7% 401(k) matching

BRGs for diversity and inclusion

Total rewards package with discretion

Job summary

Kraft Heinz is seeking a Senior Manager, Data Architect in Chicago to lead the enterprise data architecture strategy across the North America Supply Chain. You will build a unified, resilient data foundation to enable predictive decision-making and drive digital transformation for operational excellence and cost efficiency.

The role partners with Data Engineering and business stakeholders to design scalable data models, semantic models, and AI-ready data products, using Snowflake, Cortex, and

Qualifications

• Extensive experience designing enterprise-scale data architectures.
• Deep knowledge of data lifecycle, governance, security, and retention.
• Experience with Snowflake and Cortex platforms for BI/AI readiness.

Responsibilities

• Execute the Data Architecture Strategy for North America Supply Chain.
• Lead design of global data models and semantic models for analytics.
• Build Snowflake Semantic Views encoding metrics and relationships.
• Partner with Data Engineering to curate AI-ready data products.
• Design Cortex Agents to power conversational analytics for stakeholders.
• Collaborate with business stakeholders to translate requirements into data products.
• Develop scalable lakehouse architecture with strong access controls.

Skills

Data architecture

Data modeling

Snowflake

BI/AI

Jira

Confluence

ERP tools (SAP, OTM, O9, OMP)

Cortex Agents/Snowflake Cortex

Tools

Snowflake Cortex

Cortex Analyst

Cortex Search

ERP tools: SAP

ERP tools: OTM

ERP tools: O9

ERP tools: OMP

Job description

Kraft Heinz is seeking a Senior Manager, Data Architect in Chicago to lead the enterprise data architecture strategy across the North America Supply Chain. You will build a unified, resilient data foundation to enable predictive decision-making and drive digital transformation for operational excellence and cost efficiency.

The role partners with Data Engineering and business stakeholders to design scalable data models, semantic models, and AI-ready data products, using Snowflake, Cortex, and