Job Description

SIOP Advanced Analytics Leader

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Location:

Lucerne, Switzerland (Global Ops Capabilities Hub)

Reports To:

Global SIOP Leader (Lucerne)

Function:

Global Operations - SIOP Advanced Analytics

Role Purpose

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As the SIOP Advanced Analytics Leader, you will own the global analytics strategy for SIOP, enabling data-driven decisions that balance demand, supply, EBIT, and cash trade-offs.


This role leads a team responsible for AI/statistical forecasting model development, decision support for S&OP, and training/adoption of advanced planning tools. You will partner with global and regional SIOP leaders, Finance, Product Marketing, and Operations to deliver predictive insights, scenario modelling, and portfolio analytics that drive business outcomes.

Key Responsibilities

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Advanced Forecasting & AI Model Development

Own the design, development, and continuous improvement of statistical and AI/ML forecasting models for demand planning. Implement demand sensing algorithms and predictive analytics to improve forecast accuracy and responsiveness.

Decision Support for S&OP

Lead analytical support for monthly S&OP meetings, providing insights on demand/supply balancing, inventory, and financial trade-offs. Develop scenario planning models to evaluate options under demand volatility, supply constraints, and cost/service implications.

Product Review Analytics

Provide analytical insights for Portfolio Complexity Reduction, Adjacency Assessments, and NPI/LTS (New Product Introduction / Long-Term Supply) readiness.

Training & Adoption

Drive training and capability building for regional and functional teams on advanced analytics tools and methodologies. Ensure adoption at scale of new forecasting models, dashboards, and decision-support tools across the enterprise.

Data Governance & Digital Enablement

Partner with IT and Digital teams to ensure data architecture, governance, and integration for SIOP analytics. Champion automation and visualization through BI tools (Power BI, Tableau) and advanced analytics platforms.

Qualifications

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Education:

Master's in Data Science, Analytics, Supply Chain, or related field; MBA preferred.

Experience:

10+ years in

advanced analytics, forecasting, or supply chain planning

, with at least 3+ years in a leadership role.

Technical Expertise:

+ AI/ML modeling for forecasting (Python/R, TensorFlow, or similar)
+ Statistical forecasting techniques and demand sensing
+ BI tools (Power BI, Tableau) and planning platforms (SAP IBP, o9, Kinaxis)

Leadership Skills:

Proven ability to lead

cross-functional analytics teams

and drive adoption of digital tools.

Communication:

Strong executive presence; ability to translate complex analytics into actionable business insights.

Language:

English required; additional European languages a plus.

Benefits

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

More about us:

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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.

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