Vice President Data Science & Analytics

Vice President Data Science & Analytics

Edible Brands was launched to bring together powerful, purpose-led brands under one unified vision: to enrich everyday life through celebration, nourishment, and wellness. Today, Edible Brands powers three bold and growing concepts across 700+ locations worldwide—each designed to spark joy, fuel wellness, and build lasting connections. Though diverse, our brands are bound by a shared purpose to celebrate life and health.

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 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.

The Big Picture:

As the Vice President of Data Science & Analytics, you will play a pivotal role in ensuring Edible’s continued success and innovation by harnessing the power of data to drive enterprise-wide strategic decision-making, improve operational efficiency, and enhance customer experiences. Building on our strong analytics foundation, this role formally integrates data science into the function and establishes four specialized sub-teams: Data Engineering, Data Science, Digital Analytics, and Retail Analytics.

You will set the enterprise-wide data vision across our multi-brand portfolio, scaling capabilities and building the infrastructure needed to support growth—all while rolling up your sleeves to deliver insights and solutions that make an immediate business impact.

Location: This position will be onsite at our Corporate Office in Sandy Springs, GA with opportunities to work remotely on Fridays.

What that looks like day to day:

• Develop and scale a comprehensive data science and analytics strategy that fuels our multi-brand portfolio across both digital and retail channels, while building the infrastructure to sustain long-term success.
• Build, lead and align four specialized teams — Data Engineering, Data Science, Digital Analytics, and Retail Analytics — ensuring they deliver immediate insights and scalable solutions.
• Oversee the design, build, and continuous improvement of data infrastructure, pipelines, and governance to ensure accuracy and accessibility across the organization.
• Drive advanced analytics, predictive modeling, machine learning, and AI initiatives that unlock customer insights, fuel revenue growth, and improve operational performance across the business.
• Partner with IT and Legal leadership to safeguard data privacy, security, and compliance across all systems, aligning enterprise data strategy with regulatory and cybersecurity standards.
• Build and maintain dashboards, reports, and KPIs that give real-time visibility into business performance across retail and digital commerce.
• Translate complex data into clear, actionable insights that influence executive decision-making and empower teams across the organization.
• Partner cross-functionally to embed data and analytics into strategy, operations, and innovation at every level.
• Serve as a thought partner to senior leadership, proactively identifying high-value opportunities where data can unlock efficiency, growth, and customer impact.
• Champion the adoption and governance of enterprise AI tools, including ChatGPT Enterprise, to drive efficiencies, enhance decision-making, and unlock new ways of working across the organization.
• Stay hands-on with tools and technologies (SQL, Python, BI platforms, cloud data environments) to model best practices and maintain technical credibility.
• Recruit, mentor, and develop talent across disciplines, creating a culture of excellence and building a best-in-class data organization.

What You Bring (Experience, Knowledge & Skills):

• Bachelor’s degree in a quantitative field; Master’s degree in Data Science, Analytics, or related field preferred.
• 12+ years of progressive experience in analytics, data science, or data engineering, with at least 5 years in a leadership role.
• Proven track record in scaling data capabilities within an eCommerce environment
• Deep expertise in both business-facing analytics (dashboards, BI, reporting, KPIs) and advanced data science (predictive modeling, ML, experimentation).
• Technical Proficiency: Skilled in SQL, Python or R, and Docker for data manipulation, analysis, and automation.
• Data & Visualization Expertise: Experienced with cloud data platforms (Azure required) and visualization tools including Tableau and Power BI.
• Experience managing budgets, vendor relationships, and technology investments to support enterprise-wide data initiatives.

How You Work (Key Attributes)

• You’re an inspiring people leader who builds high-performing, loyal teams. Your people feel challenged, supported, and genuinely excited to come to work with you.
• You’re known for your approachable, collaborative style — colleagues at every level enjoy working with you because you listen, communicate clearly, and celebrate wins together.
• You’re deeply committed to developing and advancing talent, with a track record of mentoring, coaching, and creating meaningful career paths for data professionals across analytics, science, and engineering.
• You’re a strategic visionary who can set direction and paint the big picture, but you’re also willing to roll up your sleeves and work alongside the team when needed.
• You’re entrepreneurial and growth-minded, energized by scaling teams and shaping culture in a fast-moving, family-owned business.
• You’re a trusted bridge-builder who can translate complex data into compelling stories that motivate executives, operators, and peers alike.

We are proud to be an EEO/AA employer. Applicants for employment are considered without regard to race, creed, color, religion, sex, sexual orientation, marital status, national origin, age, and disability, status as a veteran, Vietnam Era Veteran, or being a member of the Reserves or National Guard.