Sr. UX Researcher (AI Strategist) (Plantation/Chicago Hybrid)

Company Overview

​At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department Overview

At Motorola Solutions, we believe that exceptional customer and user experiences are born from a deep understanding of user needs, powered by insightful data, and brought to life through thoughtful design. Our Experience Design & Research team is a dynamic, multidisciplinary group, bringing together talented Industrial Designers, UX/CX Designers, User Researchers, and Human Factors practitioners. We are at the forefront of understanding our users and translating those insights into impactful products and services. Now, as we embrace the transformative potential of Artificial Intelligence, we're excited to expand our team with creative minds who can help us redefine what's possible.

The Opportunity: Integrate AI into World-Class User Experiences
We are seeking talented and forward-thinking AI-Focused Experience Designers and AI-Focused User Researchers to join our innovative team. This is a unique opportunity to work at the intersection of human-centered design, cutting-edge research methodologies, and artificial intelligence. You won't just be working with AI; you'll be shaping how AI enhances and transforms the user experience. You'll collaborate closely with our existing experts in ID, CX, UX, and Research, as well as with data scientists and engineers, to envision, design, and evaluate AI-driven solutions that are intuitive, ethical, and truly valuable to our users. Your work will directly contribute to our strategic goal of leading our industry through AI-powered innovation.

Job Description

***Must include portfolio, personal website, or work samples demonstrating user-centered research experience to be considered for the position***

What You'll Do (Core Responsibilities Adaptable by Role):

• Adapt to rapidly shifting priorities and contribute to an agile, fast-paced innovation environment.

• Champion a user-centered approach in the development and application of AI technologies.

• Identify opportunities to leverage AI (ML, NLP, generative AI) to solve user problems and create novel, delightful experiences.

• Collaborate with product managers, engineers, and other stakeholders to translate AI capabilities into tangible user benefits and design requirements.

• Design and/or research user interactions with AI-powered features and systems, ensuring they are intuitive, transparent, and trustworthy.

• Contribute to the development of best practices, ethical guidelines, and design patterns for Human-AI interaction within our organization.

• Stay abreast of the latest advancements in AI and their potential applications in experience design and research.

• Effectively communicate research findings, design concepts, and AI possibilities to diverse audiences.

For AI-Focused Experience Designer, you might specialize in:

• Human-AI Interaction Design: Crafting intuitive and engaging interactions for AI-powered systems (e.g., conversational UIs, recommendation engines, generative content tools).

• End-to-End Design Process for AI-Features: Experienced in the complete AI design lifecycle, from defining user needs to creating prototypes and detailed specifications for AI features.

For AI-Focused User Researcher, you might specialize in:

• Holistic AI Experience Evaluation: Assessing the overall AI user experience, including perceived intelligence, usefulness, reliability, and how errors, uncertainty, failures, and edge cases are managed and communicated.

• AI-Augmented Research Methodologies: Leveraging AI tools for qualitative data analysis (e.g., thematic analysis of interviews, open-ended surveys), sentiment analysis, or identifying patterns in large user datasets.

• Advanced AI Testing Methodologies: Employing specialized user testing techniques for AI (e.g., "Wizard of Oz," comparative AI model testing, l