Data Designer

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

We are seeking Data Designer to design intuitive, data-driven, and AI-enabled product experiences for cold chain logistics. This role will focus on transforming complex telemetry, operational data, predictive insights, and machine learning outputs into clear, trusted, and actionable user experiences

The ideal candidate combines strong visual design and UX craft with data visualization expertise, AI product literacy, and a practical understanding of how users make decisions in high-stakes operational environments

This person will partner closely with product managers, data engineers, data scientists, and UX researchers to shape AI-assisted workflows, dashboards, alerts, and decision-support experiences

Role Responsibilities:

• Lead user interviews, surveys, usability studies, concept tests, and rapid experiments to understand how customers and internal users interact with AI and data products
• Identify opportunities where AI, machine learning, or automation can reduce cognitive load, improve decision quality, or accelerate operational response
• Design dashboards, monitoring views, alerting systems, and AI-assisted workflows for real-time operations and retrospective analysis
• Define visual hierarchy, interaction models, thresholds, and status semantics so critical signals are readable, explainable, and actionable
• Build prototypes, wireframes, mockups, and design concepts to test AI feature assumptions, prompt behaviors, data storytelling approaches, and model output presentation
• Translate complex data sets, telemetry streams, predictive indicators, and machine learning outputs into clear visual narratives for business and operational users
• Partner with data engineers, AI scientists, data scientists, product managers, and UX researchers to align user needs, technical feasibility, model constraints, and product priorities
• Design with auditability, explainability, traceability, and regulated GDP/GxP environments in mind

Minimum Requirements:

• Bachelor's degree in Graphic Design, Human-Computer Interaction, UX/UI Design, Data Visualization, Computer Science, or Data Science
• 5+ years of experience with design of data visualization (tools such as Figma, Tableau, D3.js, or Adobe Illustrator), dashboard, analytics, or complex workflow design

Preferred Qualifications:

• Life sciences, cold chain, pharmaceutical logistics, or temperature-controlled supply chain experience.
• Experience at monitoring, observability, IoT, telematics, cold chain, logistics, healthcare analytics, or financial data company.
• Working knowledge of GDP/GxP concepts, excursions, stability budgets, lane qualification, or regulated quality workflows.
• Working knowledge of databases, data processing, analytics concepts, and AI/ML capabilities, including LLMs, RAG workflows, predictive models, and model output limitations.
• Translate abstract or complex data sets into clear, human-centered visual narratives and interaction patterns
• Strong generalist UX skills, including user flows, wireframes, prototypes, usability testing, and high-fidelity interface design
• Experience designing for enterprise SaaS products used by operational, quality, supply chain, or customer support teams

Additional Information

• Must have unrestricted authorization to work in the USA. No visa sponsoring available