Senior Manager, Data Architect Chicago, IL, US Posted 10 hours ago

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k matching

BRGs

Total rewards

Discretionary bonus

Job summary

Kraft Heinz, Inc. is seeking a Senior Manager, Data Architect to lead data architecture for the North America Supply Chain. You will design semantic models, govern metrics, and collaborate with Data Engineering to deliver AI-ready data products and insightful analytics.

Remote collaboration is coupled with on-site work at Chicago locations; strong governance, security, and scalable lakehouse patterns are essential for this role.

Qualifications

• Experience in scalable, high-performance data models that drive insights.
• Background in data warehouse or lakehouse implementations.
• Ability to translate business requirements into technical data solutions.
• Experience with data modeling tools (ERWIN, ER/Studio).
• Experience with enterprise-scale data engineering tooling.
• Familiarity with Snowflake Cortex or similar platforms.
• Understanding of AI-ready data concepts: quality, metadata, governance.
• Knowledge of Agile with Jira & Confluence.
• Understanding ERP tools (SAP, OTM, O9, OMP) with analytics context.

Responsibilities

• Execute the Data Architecture Strategy for the Supply Chain function.
• Lead design of source, insight data products and global models.
• Design Snowflake Semantic Views for governed metrics and BI definitions.
• Collaborate with Data Engineering on AI-ready data products.
• Configure Cortex Agents for conversational analytics in Supply Chain.
• Translate business requirements into scalable, reusable data models.
• Design and implement robust lakehouse architecture with access controls.

Skills

Data Architecture

Data Modelling

Snowflake

Cortex

AI-ready data

Data Governance

Python tooling

ER/Studio

Jira/Confluence

Tools

ERWIN

ER/Studio

Snowflake Cortex

dbt

Pandas

Great Expectations

Jira

Confluence

Job description

About the Role

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...

Responsibilities

• 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

Requirements

• 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.

Compensation

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.
• Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
• You’ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
• 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

Equal Opportunity Employer

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.