Commercial Product Lifecycle Planning Lead

Job summary

This role focuses on establishing a new Commercial Product Lifecycle capability to enhance product management throughout its lifecycle. The position involves combining analytical work with capability building, initially concentrating on first-order forecasting and evolving towards processes, governance, and AI-enabled methodologies.

Qualifications

• Relevant experience in commercial planning, demand planning, supply chain, retail, or management consulting.
• Strong analytical skills with a focus on data-driven decision-making.
• Experience in developing or enhancing business processes and operating models.
• Solid project management experience with cross-functional initiatives.
• Strong stakeholder management abilities to create alignment without formal authority.
• Curiosity and practical experience with AI, automation, or advanced analytics.
• A Master’s degree in Business, Economics, Supply Chain, Engineering, or a related field.

Responsibilities

• Develop and enhance first-order forecasts, methodologies, and analytical models for new product launches.
• Coordinate launch planning across various business units and functions.
• Drive a transformation of the Commercial Product Lifecycle capability while delivering immediate business impact.
• Establish scalable processes, governance, and KPIs for launch planning and inventory management.
• Design business rules and execution models for overstock and delist decisions.
• Define requirements for data and analytics in collaboration with Data & AI teams.
• Monitor forecasting quality and inventory health to improve business outcomes.

Skills

• Analytical and collaborative planning profile with a focus on building new capabilities.
• Ability to translate data into commercial decisions and align stakeholders.
• Experience in retail, FMCG, or consumer goods is advantageous but not mandatory.

Education

• Master’s degree in Business, Economics, Supply Chain, Engineering, or a similar discipline.

Tools

• Familiarity with AI-supported forecasting, analytics, and automation tools.