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UI/UX Designer
UI/UX DesignerValce Talent Solutions • CA, California, US
UI / UX Designer

UI / UX Designer

Valce Talent Solutions • CA, California, US
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We help our clients enhance their talent attraction capacities, especially in technological profiles.

We constantly innovate and actively seek to find the best solutions for clients and professionals. We understand the needs of our customers and aim to be the industry specialists.

We offer consulting services to technology companies in various areas, including IT, software development, cybersecurity, and project management. Our employees are the reason for the company's existence, and their satisfaction translates into that of our customers.

The UI / UX Designer Denver based, they will play a critical role in shaping the user experience for Charter’s Operational, Analytics, and Innovation Artificial Intelligence (AI) solutions. This position is responsible for designing intuitive, high-impact interfaces that simplify complex data interactions, enabling business users and technical teams to extract insight and value from AI and machine learning (ML) technologies.

The ideal candidate combines creativity with a deep understanding of human-centered design principles and has demonstrated experience translating analytical outputs into actionable, user-friendly visual experiences. This role operates within a highly collaborative environment that includes product management, data science, engineering, and operations stakeholders.

Key Responsibilities :

Design Strategy & Execution

  • Lead the development of end-to-end user experiences for AI-driven analytical tools and digital solutions.
  • Translate business objectives and data science outputs into intuitive design concepts, wireframes, and prototypes that promote understanding and engagement.
  • Partner with product and engineering teams to align design objectives with technical feasibility, timelines, and business priorities.
  • Apply accessibility and inclusive design standards to ensure usability across all audiences and devices.

Collaboration & Delivery

  • Work closely with cross-functional teams to deliver scalable and consistent design patterns that align with enterprise design systems and brand guidelines.
  • Participate in agile development ceremonies (sprint planning, demos, retrospectives) to ensure continuous design iteration and improvement.
  • Conduct user research, usability testing, and heuristic evaluations to validate design effectiveness and measure adoption success.

    • Analytical & AI-Focused Design

  • Design interfaces for complex analytical use cases, including predictive modeling, natural language processing, and intelligent automation workflows.
  • Create visualizations that clearly communicate insights derived from large and diverse datasets.
  • Collaborate with data scientists to design interactive explainability features, AI confidence visual cues, and human-in-the-loop interaction models.

    • Required Qualifications :

  • Bachelor’s degree in Human-Computer Interaction (HCI), Design, Computer Science, or related field; equivalent experience may be considered.
  • 5+ years of professional UI / UX design experience, preferably within data analytics, AI / ML, or enterprise software environments.
  • Strong portfolio demonstrating user-centered design for complex systems or analytical platforms.
  • Proficiency with Figma, Sketch, Adobe XD, or equivalent design and prototyping tools.
  • Understanding of modern web technologies (HTML, CSS, JavaScript frameworks) and their implications on design feasibility.

    • Preferred Qualifications :

  • Experience designing dashboards, model explainability tools, or intelligent automation interfaces.
  • Familiarity with data visualization libraries (e.g., D3.js, Power BI visuals) and API-driven architectures.
  • Exposure to AI / ML lifecycle concepts, including data ingestion, model training, validation, and inference workflows.
  • Excellent communication and stakeholder management skills; ability to present design concepts to both executive and technical audiences.

    • Success Measures :

  • Improved user adoption and satisfaction of AI / ML-based tools.
  • Reduction in training time or user error for analytical applications.
  • Delivery of consistent, scalable design standards across the AI and analytics ecosystem.
  • Positive stakeholder feedback and measurable contribution to business decision efficiency.
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    Designer • CA, California, US

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