(Sales Inventory & Operations Planning)

Reports To: Associate Director, SIOP Advanced Analytics Leader
Function: Global Operations – SIOP Advanced Analytics

Role Purpose

The SIOP AI Lead is responsible for designing, developing, and deploying AI/ML forecasting models that power Carrier’s global SIOP process. This role ensures that advanced forecasting capabilities are embedded into decision-making, enabling the organization to balance demand, supply, EBIT, and cash trade-offs effectively.

The SIOP AI Lead will partner with data scientists, IT/digital teams, and regional SIOP leaders to deliver scalable, explainable, and high-performing AI solutions that improve forecast accuracy, responsiveness, and scenario planning.

Key Responsibilities

AI Forecasting Model Development

• Lead the design, development, and continuous improvement of AI/ML forecasting models for demand planning across all business units.
• Implement demand sensing algorithms leveraging short-term signals (POS data, macro indicators, channel trends) to improve responsiveness.

Integration into SIOP Decision-Making

• Embed AI-driven forecasts into S&OP and S&OE processes, ensuring alignment with business objectives.
• Partner with the Decision Support & Training Lead to incorporate AI insights into scenario planning and trade-off analysis.

Collaboration & Deployment

• Work closely with IT/Digital teams to ensure seamless integration of AI models into enterprise planning platforms (SAP IBP, o9, Kinaxis).
• Collaborate with regional SIOP teams to validate models and ensure adoption across geographies.

Innovation & Capability Building

• Stay current on AI/ML advancements in forecasting and supply chain analytics; introduce new techniques to improve accuracy and agility.
• Develop best practices and playbooks for AI model deployment and maintenance

Qualifications

• Education: Master’s in Data Science, AI/ML, Statistics, or related field; PhD preferred.
• Experience: 8–10+ years in AI/ML model development , with at least 3+ years in supply chain or demand forecasting applications.
• Technical Expertise:
• Proficiency in Python/R , ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with time-series forecasting , demand sensing, and predictive analytics.
• Familiarity with planning platforms (SAP IBP, o9, Kinaxis) and cloud environments (Azure, AWS).
• Leadership Skills: Ability to lead technical teams and influence cross-functional stakeholders.
• Communication: Strong ability to explain complex AI concepts to non-technical audiences.
• Language: Fluent English required; additional languages a plus.

Core Competencies

• Deep technical expertise in AI/ML forecasting
• Strategic mindset with ability to link analytics to business outcomes
• Strong problem-solving and innovation orientation
• Collaborative leadership across global, matrixed environments
• Passion for digital transformation and capability building

Benefits

• Very competitive base salary
• Bonus
• 25 Days Holiday + public holidays
• Pension Insurance
• Life Assurance

More about us:

Carrier is the world’s leader in high-technology heating, air-conditioning and refrigeration solutions. We have of a history of more than 100 years of proven innovation, solving problems on a global level, and our innovations drive new industries. Our mission is to be the first choice for heating, air-conditioning and refrigeration solutions worldwide. We work every day to make the world a better place to live, work and play. Consistently ranked as one of the world’s most respected companies, we are also a pioneer of social responsibility, looking after the environment as well our people.

Now, as the global leader in intelligent climate and energy solutions, we’re just getting started. Through digitally enabled solutions; intelligent, connected ecosystems; and a commitment to customers for the entire lifecycle, we’re writing the next chapter. For our company. And for the world.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.