Vice President, AI & Data Engineering

Edible Brands

VP of AI & Data Engineering orchestrating enterprise AI strategies across brands. Leading data team and modernizing data infrastructure for improved initiatives.

Posted 5/6/2026full-timeAtlanta • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Define and execute the enterprise AI and data engineering roadmap across our multi-brand portfolio, translating CEO vision into a concrete, phased build plan.
Lead the maturation of our data architecture on Azure — including evaluation and implementation of a modern data platform (Snowflake or Databricks) — to create the infrastructure foundation that AI and ML initiatives require.
Direct and mentor AI engineers, providing the technical leadership, structure, and growth opportunities.
Oversee the data engineering team, setting standards, priorities, and quality expectations.
Identify, evaluate, and implement AI and ML use cases across customer experience, operations, and revenue — including personalization, demand forecasting, and predictive analytics.
Own vendor relationships, tool selection, and technology investments for the AI and data engineering stack.
Champion AI adoption and governance across the enterprise, including stewardship of AI tools such as Claude Enterprise.
Establish data governance, security, and privacy standards in partnership with IT and Legal leadership, aligned to Azure cloud compliance requirements.
Serve as a trusted thought partner to the CEO and senior leadership, proactively surfacing high-value opportunities where AI and data can drive efficiency and growth.

Requirements

What you’ll need

10+ years of progressive experience in data engineering, data science, or AI/ML, with at least 5 years in a senior leadership role.
Demonstrated track record of standing up AI and ML capability from scratch — ideally within a mid-market, multi-brand, or similarly resource-constrained organization.
Proven experience managing and growing junior technical talent into high performers.
Experience leading data architecture modernization, including cloud migrations and modern data platform implementation.
Background in eCommerce, retail, or consumer brands is a strong plus.
Deep expertise in Azure cloud data services (required).
Hands-on experience with or strong knowledge of Snowflake and/or Databricks — implementation experience preferred.
Proficiency in Python and SQL for data manipulation, modeling, and automation.
Working knowledge of ML frameworks, experimentation design, and model deployment.
Familiarity with BI platforms (Tableau, Power BI) and data pipeline tooling.

Benefits

Comp & perks

Healthcare plans that include health/dental/vision insurance
401K Plan
Company-paid life insurance and short-term disability
Flexible spending account options
Paid time off, including sick days & holidays to support work-life balance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata scienceAIMLdata architecturecloud migrationsPythonSQLML frameworksdata manipulation

Soft Skills

technical leadershipmentoringsetting standardsprioritizationquality expectationsthought partnershipcommunicationgrowth opportunitiesstakeholder managementgovernance