Vice President, AI & Data Engineering

Edible Arrangements, LLC•Atlanta, GA

12h•Onsite

About The Position

Edible Brands® was launched in 2022 to bring together powerful, purpose-led brands under one unified purpose: to enrich everyday life through celebration, nourishment, and wellness. Today, Edible Brands powers three bold and growing concepts across 700+ locations worldwide. Our portfolio spans Edible Arrangements®, the iconic gifting brand; Rōti®, a Mediterranean-inspired fast-casual restaurant; edibles.com™, a trusted marketplace for low-dosage THC & CBD wellness products; and BerryDirect®, our robust supply chain infrastructure. Together, these brands are fueled by The Edible Way—a set of employee-driven values that keep us committed, collaborative, adaptable, results-driven, and always ready to celebrate. We are at an inflection point. We have ambitious AI and machine learning goals, a talented but early-stage team, and data infrastructure that needs to mature in order to fully unlock those ambitions. This role exists to close that gap. As VP, AI & Data Engineering, you will be the architect of our AI future and the leader who makes it real. You will inherit a team of six data scientists, data engineers, and analysts, and you will be expected to elevate, direct, and grow all of them. You will report directly to the CEO and serve as the enterprise's primary translator between executive vision and technical execution. This is not a role for a pure strategist. We need someone who has built AI capability from the ground up in a resource-constrained environment and who is energized by that challenge.

Requirements

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.
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.

Nice To Haves

Background in eCommerce, retail, or consumer brands is a strong plus.

Responsibilities

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.