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Design Your Future at PVH
Merchandise Planner
The Team
Within our Omni Planning & Allocation team, the mission is to drive commercial performance through strong financial planning, demand forecasting, and smart allocation & replenishment across all channels and categories. The team sets the strategic guardrails for promotions and markdown decisions, ensuring margin and profitability are maximized.
As the backbone of the department, the team works closely with Buying & Merchandising, DTC Channels (e Com, Full Price, Outlet), Regional Hubs, and Finance to ensure all inventory and product decisions are aligned with company-wide planning strategies.
This is an evergreen opportunity — we continuously connect with strong planning talent across Europe who are interested in joining our team in Amsterdam and potentially relocating to the Netherlands as part of their next career step.
The Role
As a Merchandise Planner, you are responsible for developing and executing merchandise financial and inventory plans across Full Price, Outlet or e Commerce channels for selected product categories or divisions.
You work closely with Trade, Buying and Branch Planning teams to ensure alignment across sales, margin and inventory targets. Your contribution directly supports operational excellence and commercial success.
Key Responsibilities
Merchandise Planning
Develop merchandise plans including inventory buy targets, seasonal sales and margin targets
Partner with commercial planning and buying strategy teams to ensure alignment
Seasonal Reviews
Conduct hindsight analysis and define forward strategies with Buying counterparts
Store & Channel Reviews
Prepare store clusters based on store types, capacity grading and location needs
Align with Branch Planning and e Commerce planning teams
Buying Budget & Quantification
Develop buying budgets to meet sales and stock targets
Review and finalize SKU-level buy quantities ahead of deadlines
Allocation & Replenishment
Optimize initial allocation and seasonal/NOS replenishment frameworks
Prepare monthly NOS demand plans based on trends and stock levels
Open-to-Buy Management
Manage WSSI forecasting and monitor in-season performance
Identify risks and opportunities, driving actions to maximize profitability
Promotions & Markdown
Define financial guardrails and discount strategies
Balance margin protection with inventory clearance objectives
Continuous Improvement
Contribute to system and process enhancements to increase team efficiency
Measures of Success
Delivery of net sales and net margin in line with targets
Strong stock management (stock turn)
High planning accuracy across merchandise plans
Requirements
3–5+ years’ experience in merchandise planning, financial planning, branch planning or commercial planning within fashion, retail or consumer goods
Strong understanding of merchandise planning, markdown and promotion management
Commercial and results-driven mindset
Strong analytical and data-driven decision-making skills
Effective stakeholder management across cross-functional teams
Experience managing omni-channel inventory flows and demand forecasting
Knowledge of planning systems (e.g. SAP, Oracle)
Strong problem-solving skills
Highly adaptable and proactive
Fluent in English
Bachelor’s degree in Business, Finance, Economics or Retail preferred
Interest in relocating to the Netherlands and joining our Amsterdam-based team
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About PVH (Calvin Klein, Tommy)
Reviews
4.3
15 reviews
Work Life Balance
3.7
Compensation
4.9
Culture
4.2
Career
4.6
Management
4.0
84%
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Pros
Working on cutting-edge AI/ML technologies
Strong research and publication culture
Top-tier compensation with excellent equity
Cons
High expectations and pressure to deliver
Ambiguity in rapidly evolving field
Extremely fast-paced with constant changes
Interview Experience
44 interviews
Difficulty
3.9
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 67%
Neutral 21%
Negative 12%
Interview Process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common Questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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