Senior Manager, Data Architect

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

BRGs

Total rewards package

Job summary

Kraft Heinz in Chicago seeks a Senior Manager, Data Architect to lead enterprise data architecture for North America Supply Chain, enabling data-driven, predictive decision-making across planning, logistics, and customer excellence.

You will design source and insight data products, build Snowflake semantic views, partner with Data Engineering on AI-ready data, and shape lakehouse architecture with strong governance.

Qualifications

• Experience designing scalable data models for large enterprises.
• Solid background in data warehouse or lakehouse implementations.
• Familiarity with Agile methodologies; Jira/Confluence.
• Ability to translate business requirements into technical data solutions.
• Knowledge of semantic models and BI/AI data requirements.

Responsibilities

• Execute the Data Architecture Strategy for Supply Chain data.
• Lead design of source/insight data products and global data models.
• Design Snowflake Semantic Views for governed metrics and relationships.
• Collaborate to curate AI-ready data products for GenAI/ML workloads.
• Configure Cortex Agents and Cortex Search for analytics.
• Work with stakeholders to develop data products supporting analytics across data sources.
• Translate requirements into scalable data models and reusable designs.
• Implement lakehouse architecture with robust data access controls.

Skills

Data architecture

Snowflake

Cortex

BI/AI

GenAI/ML

Data modeling

ELT tools (dbt, pandas)

Python libraries

Jira/Confluence

ERP knowledge (SAP, OTM, O9, OMP)

Tools

Snowflake Cortex

dbt

pandas

great expectations

Job description

Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus. *Benefits begin immediately upon hire for salaried employees.

Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels!

Senior Manager, Data Architect at a glance...

You will execute the enterprise data architecture strategy that powers the North America Supply Chain's transition to data-driven, predictive decision-making, spanning planning, logistics execution, and customer excellence. You will be successful by build a unified, resilient data foundation that reduces time-to-insight and supports supply chain agility, directly advancing Kraft Heinz's broader goals of operational excellence, cost efficiency, and growth through digital transformation.

What's on the menu?

• Execute the organization’s Data Architecture Strategy, data lifecycle framework, and standards—covering data ingestion, modelling, security, consumption, storage and retention—for the Supply Chain function, in partnership with the Data Architecture Leads
• Lead the design of source and insight data products, global data models and semantic models, ensuring optimal performance for BI, AI and conversational analytics
• Design and build Snowflake Semantic Views that encode governed business metrics, dimensions, and relationships, giving BI tools and AI agents a single, trusted definition of the truth
• Partner with Data Engineering to curate AI-ready data products—trusted, well-documented, quality-assured data suited for consumption by GenAI, ML, and agentic applications—and help define what “AI-ready” means for the Supply Chain domain
• Design and configure Cortex Agents (orchestrating Cortex Analyst over Semantic Views, and Cortex Search over unstructured content) to power conversational and agentic analytics for Supply Chain stakeholders
• Work with business stakeholders, product owners, functional leads and cross-functional chapters to design and develop data products and solutions within the North America Supply Chain function, supporting analytical and decision intelligence use cases across a large variety of internal and external data sources
• Translate business requirements into scalable, high-performance and reusable data models that can be efficiently utilized across different data initiatives and generate actionable insights
• Design and implement comprehensive lakehouse architecture incorporating robust data access controls and security

• I have years of relevant experience in design and implementation of scalable, high-performance, and reusable data models that help in generating actionable insights.
• I have a strong background in data warehouse / lakehouse implementation
• I have experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.).
• I have the ability to explain complex technical concepts clearly to non-technical executive stakeholders.
• I have a demonstrated ability to translate business requirements into technical solutions driving data architecture and Data Product design.
• I have experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.).
• I have experience designing semantic models/Semantic Views for BI/AI data requirements, and familiarity with Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex Agents) or comparable conversational-AI/agent platforms
• I have an understanding of what it takes to make data “AI-ready”—data quality, metadata, governance, and access patterns suited to LLM, ML, and agentic consumption
• I have knowledge of Agile methodologies with experience working on tools such as Jira & Confluence.
• I have a growing understanding of business processes and functional understanding of ERP tools like SAP, OTM, O9, OMP etc. with an analytical background.

Please note: This job posting is just a preview of the full scope of the position. A comprehensive job description will be shared

We hope to find you a seat at our table!

Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz’ strategy and values.

New Hire Base Salary Range:

$120,800.00 - $151,000.00

Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors

Benefits:

Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family’s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

• Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
• Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
• Emotional – Employee Assistance Program , Wellbeing Programs, Family Support Programs
• Financial – 401k, Life, Accidental Death & Dismemberment, Disability

Location(s)

Chicago/Aon Center

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact [e-mail] for assistance.