At Curaleaf, we’re redefining the cannabis industry with a strong commitment to quality, expertise, and innovation. As a leading global cannabis provider, our brands—including Curaleaf, Select, and Grassroots—offer premium products and services in both medical and adult-use markets.

Join us at Curaleaf to be part of a high-growth, purpose-driven company that champions corporate social responsibility through our Rooted in Good initiative, supporting community outreach and positive change. Here, you’ll have the opportunity to make a meaningful impact, drive innovation, and help shape the future of cannabis.

Sr. Demand Planner - Retail

Work Location: Scottsdale, AZ

Work Arrangement: This is an on-site position requiring five days per week in our Scottsdale, AZ office. Candidates should be comfortable with this work arrangement before applying.

Compensation is negotiable and will be based on qualifications and experience.

About the Role:

Are you passionate about turning data into smart decisions that drive business growth? As a Sr. Demand Planner, you’ll play a key role in shaping our product strategy by forecasting demand, analyzing trends, and planning inventory across our retail network. You’ll help ensure our product assortment meets customer needs, aligns with market trends, and supports our sales goals. This role is highly collaborative; you’ll work closely with teams across Sales, Marketing, Supply Chain, and Merchandising to build proactive inventory strategies and identify opportunities for category growth.

What You’ll Do

Demand Forecasting & Planning

Build and refine short-term and long-term demand forecasts at the SKU, customer, and channel levels.
Use statistical tools and historical data to predict future demand and adjust for promotions or seasonal shifts.
Monitor forecast accuracy, explain variances, and continuously improve forecasting processes.
Lead S&OP (Sales & Operations Planning) conversations with local and regional partners.

Sales Collaboration

Partner with Sales Leaders, Buyers, and Merchandisers to incorporate customer insights, promotional calendars, and product launches into demand plans.
Share demand insights during monthly S&OP meetings.
Support vendor and account meetings with clear inventory turnover and depletion strategies.

Reporting & Analysis

Analyze historical sales, category trends, and customer POS data to uncover growth opportunities and risks.
Present findings and recommendations to senior leadership.
Contribute to continuous improvement initiatives focused on forecasting accuracy and data integrity.

Cross-Functional Alignment

Collaborate with Marketing, Supply Chain, Buying, and Merchandising to ensure forecasts align with brand strategies and inventory goals.
Work with Operations to align production plans with demand while minimizing excess inventory.
Support new product introductions by forecasting initial demand and tracking post-launch performance.

What You’ll Bring

Bachelor’s degree in Business, Supply Chain Management, Economics, Statistics, or a related field, or equivalent combination of education and relevant professional experience.
5+ years of hands-on experience in retail demand planning, forecasting, or sales planning, with responsibility for developing, maintaining, and analyzing demand forecasts in the food, beverage, or consumer packaged goods industries.
Advanced proficiency in Microsoft Excel, including VLOOKUP, XLOOKUP, PivotTables, and working with large or raw data sets to independently analyze trends and develop forecasts.
Demonstrated ability to analyze demand and inventory performance, with working knowledge of retail metrics such as margin, inventory turnover, days of supply, and out-of-stock reporting.
Experience forecasting at the SKU, category, customer, or channel level.
Understanding of key retail demand drivers, including pricing, promotions, seasonality, assortment changes, historical sales trends, and inventory availability.
Ability to work through data and solve problems independently, including situations where reporting, processes, or forecasting tools are not fully automated.