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Closed listing

Kraft Heinz

Group Lead, Data Products & Architecture – Growth & R&D

Toronto, ON, Canada

$146,300.00 - $182,900.00 · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $146,300.00 - $182,900.00
Job type: Full-time
Closing date: Oct 23, 2026
Experience: 8–12 years of experience in enterprise data architecture, including demonstrated experience leading and developing a team of data architects
Posting language: English
Posted: Sep 23, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description

Group Lead, Data Products & Architecture – Growth & R&D at a glance...

Location: Toronto, ON

Hybrid: 3 days/week

This role leads the Data Products & Architecture team for Kraft Heinz's Growth & R&D capabilities, spanning innovation, consumer & marketing analytics, and R&D/product development data. The role sets the architectural strategy and standards - including data models, semantic layer design, and integration patterns - that enable trusted, AI-ready data across Growth and R&D functions. It manages a team of data architects, oversees the domain’s Snowflake Semantic View and Cortex Agent adoption, and partners with senior stakeholders to translate business needs into a multi-year technical roadmap. Success means a unified, resilient data foundation that accelerates innovation and decision-making, directly advancing KHC’s broader goals of growth, operational excellence, and digital transformation.

What’s on the menu?

Own and evolve the Data Products & Architecture strategy, data lifecycle framework, and standards - covering ingestion, modelling, security, consumption, storage, and retention - for Growth & R&D.
Manage, mentor, and grow a team of data architects, including building out onshore and GCC (Bengaluru) capacity for the domain.
Establish architectural patterns and standards for enterprise data products and Snowflake Semantic Views, driving Cortex Agent and Cortex Analyst adoption for conversational and agentic analytics.
Define what “AI-ready” data means for Growth & R&D - setting the quality, governance, and metadata standards for GenAI, ML, and agentic consumption.
Oversee the design and delivery of data products across Growth (marketing, consumer insights, innovation) and R&D (product development, formulation, master data).
Interact with and influence senior stakeholders on strategic alignment, and manage ongoing stakeholder relationships across the domain and adjacent functions.
Lead architecture governance forums; review and approve major architectural decisions and data model deployments.
Oversee data source strategy, developing frameworks for collaboration between the architecture team and application/product owners.
Design and implement comprehensive lakehouse architecture, incorporating robust data access controls and security.
Partner with Enterprise Architects, Solution Architects, and peer Group Leads to keep Growth & R&D’s architecture consistent with enterprise-wide standards.
Provide solution design guidance and deployment approval to Data Engineering and BI Engineering teams during the build phase.
Champion adoption of innovative data solutions and emerging technologies, ensuring alignment with business needs and compliance.
Drive standards and best-practices documentation, contributing to the chapter-wide governance framework.

Recipe for success – apply now if this sounds like you!

Bachelor’s degree in Computer Science, Information Systems, or related field
Advanced cloud certification (Azure Solutions Architect), CDMP data management certification, and Snowflake platform certification strongly preferred
8–12 years of experience in enterprise data architecture, including demonstrated experience leading and developing a team of data architects
Proven track record architecting and delivering enterprise-scale data products, including designing semantic models/Semantic Views for BI/AI initiatives
Strong background in cloud lakehouse technologies (e.g., Snowflake or comparable platforms), including Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex Agents) or comparable conversational-AI/agent platforms, with a clear point of view on what makes data AI-ready
Working proficiency in SQL and Python, and familiarity with BI tools such as Power BI, sufficient to review team output and guide technical standards
Broad technical fluency across cloud platforms (AWS, Azure, GCP), batch and real-time data architectures, and major enterprise solutions in Growth and R&D functions (e.g., Trace One, Salesforce), sufficient to guide team technology decisions and standards
Working understanding of Data Governance principles and practices, including data quality, security, and compliance
Experience developing data architecture governance frameworks and vendor evaluation/selection
Deep understanding of business processes with strong analytical background; CPG domain expertise strongly preferred
Growth/Marketing and/or R&D domain experience a plus
Strong team leadership and development abilities, including experience building teams across onshore and offshore/GCC locations
Executive presence, communication, conflict resolution, and change management skills
Knowledge of Agile methodologies and tools such as Jira & Confluence

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

$146,300.00 - $182,900.00

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.

Benefits

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 Family Assistance Program, Wellbeing Programs, Family Support Programs
Financial -Savings/Pension, Life, Accidental Death & Dismemberment, Disability, Discounted Perks

Location(s)

Toronto - Queen's Quay - Headquarters

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 NAZTAOps@kraftheinz.com for assistance.

About employer

More about this job

Responsibilities

Lead the Growth & R&D Data Products & Architecture team, setting architectural strategy, standards, governance, and a multi-year roadmap while developing onshore and Bengaluru-based team capacity. Oversee enterprise data products and lakehouse architecture, guide Snowflake Semantic View and Cortex adoption, and partner with stakeholders and engineering teams to deliver secure, trusted, AI-ready data.

Requirements

Requires 8–12 years of enterprise data architecture experience, including leading and developing data architects, and a bachelor’s degree in Computer Science, Information Systems, or a related field. Candidates should bring experience with enterprise-scale data products, cloud lakehouse platforms, semantic models, governance, and team leadership; Azure, CDMP, and Snowflake certifications are strongly preferred.

Skills

Data Architecture
Data Product Strategy
Team Leadership
Snowflake
Semantic Modeling
Lakehouse Architecture
Data Governance
Data Security
AI-Ready Data
Cortex Agents
Cortex Analyst
SQL
Python
Cloud Platforms
Stakeholder Management
Agile Methodologies

Benefits

Medical Insurance
Prescription Drug Coverage
Dental Insurance
Vision Coverage
Paid Time Off
Company Holidays
Leave of Absence
Flexible Work Arrangements
Employee Assistance Program
Wellbeing Programs
Family Support Programs
Savings and Pension Plans
Life Insurance
Accidental Death and Dismemberment Coverage
Disability Coverage
Discounted Perks

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Data Products
Growth and R&D
Snowflake
Snowflake Semantic Views
Snowflake Cortex
Cortex Analyst
Cortex Search
Cortex Agents
Lakehouse Architecture
Semantic Models
Data Modeling
Data Governance
Data Quality
Data Security
AI-Ready Data
Generative AI
Machine Learning
SQL
Python
Power BI
AWS
Azure
Google Cloud Platform
Trace One
Salesforce
Data Architecture Governance
Vendor Evaluation
Agile
Jira

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