Edible Brands

Data Engineer

• 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.

Vice President, AI & Data Engineering

Director

• Own end-to-end campaign and media performance measurement across paid, owned, and earned channels – delivering clear ROI visibility to marketing leadership across all brands.
• Own end-to-end marketing channel tracking and attribution, ensuring accurate measurement of performance from media spend through to revenue, including implementation, validation, and ongoing optimization of tracking infrastructure across all platforms.
• Lead media mix modeling (MMM) efforts to optimize marketing spend allocation across channels and brands, partnering with internal teams and external vendors as needed.
• Develop and maintain customer segmentation models, lifetime value frameworks, and cohort analyses that inform lifecycle marketing, CRM, paid media, and eCommerce strategy.
• Build and maintain executive-ready dashboards and reporting that give leadership real-time visibility into customer behavior, campaign performance, and marketing effectiveness.
• Own and evolve our personalization strategy across digital and marketing channels, translating customer data into tailored experiences that drive engagement and conversion.
• Oversee and execute digital analytics infrastructure and measurement across web and app properties, ensuring accurate tracking, attribution, and insight generation leveraging tools such as Adobe Analytics, GA4, and Segment.
• Partner with CRM, lifecycle marketing, paid media, and eCommerce teams to deliver actionable audience insights that enable targeted, relevant customer communications at scale.
• Own and administer Segment (Customer Data Platform) – including data pipeline integrity, audience creation, and integration with downstream marketing and personalization tools.
• Own and manage Qualtrics – designing and maintaining voice of customer programs, experience measurement surveys, and feedback loops that inform brand and marketing decisions.
• Own and manage Dynamic Yield – including platform configuration, personalization strategy, testing roadmap, and ongoing optimization to drive conversion and revenue growth.
• Own and manage Adobe Analytics and Google Analytics 4 (GA4) – including implementation, configuration, data integrity, and ongoing optimization to ensure accurate performance measurement and attribution.
• Evaluate, recommend, and implement additional MarTech tools that advance our analytics and personalization capabilities, in partnership with the VP of AI & Data Engineering.
• Serve as the primary business owner for the marketing data stack, ensuring tools are configured, governed, and adopted effectively across teams.
• Build, lead, and develop an analytics team that directly supports Edible Arrangements® and Rōti ®, while serving as a consulted and informed partner on analytics strategy for edibles.com™.
• Establish a strong working relationship with the VP of AI & Data Engineering, leveraging shared data infrastructure while advocating for the analytical needs of the marketing organization.
• Translate complex data into clear, compelling stories that drive alignment and action across marketing, brand, and executive audiences.
• Recruit, develop, and mentor analytical talent, building a team culture of curiosity, rigor, and impact.

Senior Director, Customer & Digital Analytics

IT Support

• Own the architecture, performance, and reliability of our Azure environment
• Design and operate scalable infrastructure using App Services (primary hosting for Node.js APIs and microservices), Azure Function Apps, Storage Accounts (including static web hosting for React applications), Application Insights (monitoring, logging, and observability), Key Vault (secrets and credential management), Front Door and Application Gateway (traffic routing, WAF, and edge delivery), Azure DNS
• Establish best practices for scaling, failover, and regional resiliency
• Actively contribute to infrastructure design, troubleshooting, and optimization
• Review and guide infrastructure as code (Terraform, Bicep, ARM, etc.)
• Partner with engineering teams to improve application performance and reliability
• Lead root cause analysis for production incidents and drive permanent fixes
• Build and improve deployment strategies, including CI/CD pipelines
• Own observability strategy using Application Insights and logging platforms
• Define and implement alerting, dashboards, and SLIs/SLOs
• Ensure all services are instrumented for deep debugging and tracing
• Proactively identify and resolve performance bottlenecks
• Architect and manage traffic routing using Front Door and Application Gateway
• Optimize global performance, availability, and failover strategies
• Own DNS strategy, domain management, and cutover planning
• Troubleshoot complex networking and connectivity issues
• Continuously monitor and optimize Azure spend
• Implement right-sizing, scaling strategies, and cost governance practices
• Balance performance, reliability, and cost in all infrastructure decisions
• Lead and mentor a small, high-impact infrastructure team
• Set a high bar for technical excellence and ownership
• Build a culture of accountability, urgency, and continuous improvement

Vice President, AI & Data Engineering

Senior Director, Customer & Digital Analytics

Director, IT Infrastructure & Services