Honeywell

This role focuses on developing and maintaining software applications, primarily using .NET technologies, to support procurement and sourcing business processes. It involves collaborating with cross-functional teams to deliver solutions that enhance operational efficiency and digital capabilities within the organization.

Senior UX Designer responsible for enhancing digital customer experience by developing reusable design components, leading UX delivery for customer-facing applications including eCommerce and GenAI, and ensuring accessibility compliance. Focuses on building a Digital Customer Experience Library and driving standardization.

Lead IT Architect at Honeywell, responsible for designing and evolving the technology landscape, aligning architecture with business goals, and ensuring scalability, security, and compliance. Specifically, the Lead Solution Architect in the HR Technology Domain will shape the architecture for HR business processes, develop strategic roadmaps, and lead the integration of Oracle Integration Cloud and AI/ML technologies to enhance HR processes.

This role focuses on leveraging data analytics to optimize operational efficiency and improve decision-making within the Integrated Supply Chain. The Sr. Advanced Data Analyst will analyze complex datasets, collaborate with cross-functional teams, develop analytical solutions, and ensure data integrity. Key responsibilities include translating complex data into actionable insights, driving continuous improvement, and providing coaching to other team members. The role requires proficiency in data analytics tools, programming languages (Python, R, SQL), and data visualization tools (Tableau, Power BI). Experience in supply chain analytics and advanced techniques like machine learning is preferred.

This role focuses on data analysis and interpretation to drive business insights and optimize operational efficiency. The Data Analyst II will collaborate with teams to identify business challenges, develop analytical solutions, and create data visualizations and reports. Key responsibilities include analyzing complex datasets, developing data models, and identifying process improvements through data analysis.