Demand Planning Manager

tarte cosmetics•New York, NY

10h•$80,000 - $100,000

About The Position

The Demand Planning Manager analyzes demand signals for products to effectively drive the Supply Chain and provide an accurate demand plan to guide the wholesale (shipment) sales plan and retail sales plan. The Manager plays a role in the Sales and Operations Planning (S&OP) process by collaborating with the Supply Planning, Sales, Marketing, and Finance teams to ensure alignment between the forecast and financial plans.

Requirements

6-8 years of experience within Demand Planning, Sales Planning, or Supply Chain preferred
Strong Excel skills required
Proven track record owning forecast accuracy metrics and driving measurable improvement
Strong analytical skills with high attention to detail and the ability to translate data into clear, actionable insights for senior stakeholders
Experience with demand planning/ERP systems (e.g., SAP IBP, Kinaxis, O9, Anaplan) and BI tools (e.g., Tableau, Power BI)
Working knowledge of sales strategy and brand positioning
Flexible, adaptive mindset with the ability to operate in a fast-paced, evolving environment

Nice To Haves

Vanguard experience a plus
Cosmetics or Consumer Packaged Goods (CPG) industry experience strongly preferred

Responsibilities

Own the monthly SKU/retailer forecasting process, applying statistical forecasting models (e.g., exponential smoothing, causal/regression-based methods) alongside market and retailer-specific inputs
Lead new product forecasting, including initial sell-in projections, launch phasing, post-launch tracking, and category contribution analysis
Assess new launch impact on existing products for cannibalization risk or complementary growth
Own forecast accuracy and bias metrics (e.g., WAPE/MAPE) against defined targets; drive root-cause analysis and continuous improvement
Assess actual sell-through vs. plan, identify variance drivers, and translate findings into forward forecast revisions
Participate in S&OP and business review forums, presenting demand insights, scenario analyses, and tactical recommendations to senior stakeholders
Develop close working relationships with key retailers, providing inventory feedback and collaborating on joint forecasting where applicable
Own end-to-end product lifecycle planning, including phase-in/phase-out timing and inventory risk mitigation at end-of-life
Provide input to Supply Planning on inventory strategy discussions
Leverage AI/ML-driven forecasting and analytics tools to improve forecast accuracy, automate routine analysis, and surface demand insights faster, while applying business judgment to validate, adjust, or override AI-generated forecasts to ensure they reflect market reality