AI-Driven Demand Planner (Remote, Contract)

Ascendion; Colombia; On-site; COP 60,000,000 - 90,000,000; Part time

Job summary

Ascendion is seeking a seasoned Demand Planner / SIOP specialist for a Colombia-based remote contract of one year. You will lead demand planning, forecast development, and collaborate with Sales, Finance, Operations, and Manufacturing to align supply with demand. Strong Excel, Power BI, and ERP/MRP experience are essential.

AI tools and SI/IBP exposure are a plus. The role emphasizes building robust forecasting processes, improving forecast accuracy, and supporting inventory, production, and

Qualifications

• 7+ years of experience in Demand Planning, Forecasting, or related fields.

Responsibilities

• Lead demand planning and forecasting activities.
• Develop and improve short- and mid-term demand forecasts.
• Analyze demand trends and improve forecast accuracy.
• Partner with Sales, Finance, Operations, Manufacturing, and Supply Chain.
• Support inventory, production, and financial planning.
• Build and maintain Power BI dashboards and reports.
• Leverage advanced Excel and ERP/MRP data for planning and analysis.
• Identify opportunities to automate reporting and forecasting processes.
• Use AI-driven tools to improve planning and business analysis.
• Support S&OP / IBP processes.

Skills

Demand planning

Forecasting

Supply chain planning

Inventory planning

Advanced Excel

Power BI

ERP/MRP experience

Communication skills

Stakeholder management

AI tools for planning

Education

Bachelor's degree in supply chain, operations, or related

Tools

SAP

Oracle

NetSuite

SQL

Python

Job description

Ascendion is seeking a seasoned Demand Planner / SIOP specialist for a Colombia-based remote contract of one year. You will lead demand planning, forecast development, and collaborate with Sales, Finance, Operations, and Manufacturing to align supply with demand. Strong Excel, Power BI, and ERP/MRP experience are essential.

AI tools and SI/IBP exposure are a plus. The role emphasizes building robust forecasting processes, improving forecast accuracy, and supporting inventory, production, and