SIOP Digital Partner

Florida, United States

Carrier

Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.

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Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About this role

The SIOP Digital Partner plays a pivotal role in partnering with the operational leaders of various Business Units (BUs) to understand and drive the digital Sales, Inventory, and Operations Planning (SIOP) strategy for each BU. This position requires deep expertise in SIOP processes, SIOP tools and technology, as well as a profound functional understanding of the business. The primary objective is to make meaningful recommendations that enhance the demand and supply planning function for each BU. This individual will be accountable to drive the vision and strategy for the SIOP Tools and reporting function for the BU and ensure the solutions are world-class and aligning with the Carrier standardization agenda.

Key Responsibilities

  • Experience with advanced data analytics tools such as Python, R, or SAS for data analysis, modeling, and statistical analysis.
  • Familiarity with machine learning algorithms, including supervised and unsupervised learning. Experience in model development, training, and deployment for predictive analytics.
  • Knowledge or experience working with Enterprise Resource Planning (ERP) systems, such as SAP, Oracle, or Microsoft Dynamics, to understand and integrate data from these systems into analytics and reporting solutions.
  • Familiarity with supply chain and operations concepts, processes, and challenges, as well as experience in applying data analytics to address supply chain optimization.
  • Relevant certifications in data science, data analytics or Microsoft Power BI certifications.
  • Experience working in a global or multi-regional context, demonstrating an understanding of the complexities and challenges associated with global operations and supply chain management.
  • Proven experience in change management, influencing organizational culture, and facilitating the adoption of data-driven decision-making practices.
  • Knowledge and experience in data governance, data privacy regulations, and data security standards to ensure compliance with regulatory requirements.
  • Previous leadership or managerial experience, particularly in leading cross-functional teams and global initiatives.
  • A master's degree in a relevant field, such as Data Science, Business Analytics, or Business Administration (MBA), can be a preferred qualification.
  • Domain-specific knowledge relevant to Carrier Corporation's industry, such as HVAC, refrigeration, or building automation systems, can be valuable.

Basic Qualifications

  • Bachelor's degree
  • 5+ experience in SIOP processes or demand and supply planning, with a track record of driving improvements in these areas.

Preferred Qualifications

  • Master's degree in a related field is preferred.
  • Excellent communication and stakeholder engagement abilities.
  • Strong business acumen specific to Inventory, Revenue, Units, and Margin
  • Experience with advanced data analytics tools such as Python, R, or SAS for data analysis, modeling, and statistical analysis.
  • Familiarity with machine learning algorithms, including supervised and unsupervised learning. Experience in model development, training, and deployment for predictive analytics.
  • Knowledge or experience working with Enterprise Resource Planning (ERP) systems, such as SAP, Oracle, or Microsoft Dynamics, to understand and integrate data from these systems into analytics and reporting solutions.
  • Familiarity with supply chain and operations concepts, processes, and challenges, as well as experience in applying data analytics to address supply chain optimization.
  • Relevant certifications in data science, data analytics or Microsoft Power BI certifications.
  • Experience working in a global or multi-regional context, demonstrating an understanding of the complexities and challenges associated with global operations and supply chain management.
  • Proven experience in change management, influencing organizational culture, and facilitating the adoption of data-driven decision-making practices.
  • Knowledge and experience in data governance, data privacy regulations, and data security standards to ensure compliance with regulatory requirements.
  • Previous leadership or managerial experience, particularly in leading cross-functional teams and global initiatives.
  • A master's degree in a relevant field, such as Data Science, Business Analytics, or Business Administration (MBA), can be a preferred qualification.
  • Domain-specific knowledge relevant to Carrier Corporation's industry, such as HVAC, refrigeration, or building automation systems, can be valuable.
  • Deep knowledge of SIOP tools and technology, including forecasting software, inventory management systems, and data analytics tools
  • Strong functional understanding of the specific industry and business operations within the BUs.
  • Excellent communication and interpersonal skills.
  • Data-driven decision-making expertise.
  • Project management skills to oversee the implementation of SIOP strategies and tools.
  • Continuous learning and adaptability to stay current with the latest developments in SIOP processes and technology.
  • In-depth knowledge of SIOP processes, including demand forecasting, inventory management, and supply chain optimization.
  • Expertise in SIOP tools and technology, with the ability to recommend and implement appropriate solutions.
  • Strong functional understanding of the specific industry and business operations within the BUs.
  • Data-driven decision-making skills, including data analytics and insights.
  • Understanding of industry-specific regulations and compliance requirements.

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Tags: Business Analytics Data analysis Data Analytics Data governance Machine Learning ML models Oracle Power BI Privacy Python R SAS Security Statistics Unsupervised Learning

Perks/benefits: Career development

Region: North America
Country: United States

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