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Sr. UX Researcher Manager (AI Strategist) (Plantation/Chicago Hybrid)
Sr. UX Researcher Manager (AI Strategist) (Plantation/Chicago Hybrid)Motorola Solutions • Plantation, FL,
Sr. UX Researcher Manager (AI Strategist) (Plantation / Chicago Hybrid)

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

Motorola Solutions • Plantation, FL,
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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, longitudinal studies) and continuously adopting emerging research practices.

Researching User Perceptions & Trust in AI : Designing studies to understand how users perceive, interact with, and trust AI systems.

Evaluating Experiences with AI-Powered Features : Developing methods to assess the usability, utility, and ethical implications of AI in user-facing applications.

Generative Research Synthesis with AI : Using AI to assist in synthesizing large volumes of research data to uncover deep insights and opportunities for AI application.

Predictive Behavior Analysis : Understanding and interpreting AI-driven predictions about user behavior to inform proactive CX strategies

AI-Powered Prototyping & Visualization : Using AI tools to rapidly prototype experiences or visualize complex AI-driven data for users.

Designing for AI Transparency & Explainability : Creating interfaces that help users understand and trust AI-driven decisions and outputs.

Data-Informed Design for AI : Proven ability to utilize user data, AI metrics, and research to design and improve AI systems.

Ethical AI Design : Proactively identifying and mitigating bias and ethical concerns in the design of AI-powered experiences.

Speculative & Future-State Design : Exploring novel applications of emerging AI to envision future user experiences.

Fundamental Skills & Qualifications (Baseline for All Candidates) :

Bachelor's or Master's degree in HCI, Design, Psychology, Cognitive Science, Computer Science (with a focus on AI / HCI), or a related field, or equivalent practical experience.

Minimum 8 years of UX, CX, Interaction Design, Product Design) OR User Research (Qualitative / Quantitative methodologies).

Minimum 3 years of direct people management experience.

AI Literacy : A strong understanding of core Artificial Intelligence concepts, including Machine Learning (ML), Natural Language Processing (NLP), and Generative AI – their capabilities, limitations, and ethical considerations. You don't need to be an AI developer, but you must understand how these technologies work at a conceptual level.

Problem Solver : Excellent analytical and critical thinking skills, with a knack for identifying user needs and framing them as design or research challenges.

User-Centric Mindset : A deep passion for understanding and advocating for the user.

Collaboration & Communication : Exceptional ability to collaborate effectively within a multidisciplinary team and articulate complex ideas clearly (verbally and visually).

Adaptability & Continuous Learning : Eagerness to learn new technologies and methodologies, particularly in the rapidly evolving AI space. Ability to thrive in an environment with dynamic priorities.

A portfolio showcasing your process, skills, and impact. Please highlight any projects or thinking related to AI if available.

Target Base Salary Range : $101,300 - $202,600

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note : Candidate must be in the Chicago or Plantation office 2 times per week.

#LI-MP2

#LI-HYBRD

Basic Requirements

Bachelors degree with 8+ years of professional experience in UX, CX, Interaction Design, Product Design, or User Research

AND 3+ years direct people management experience

Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel Requirements

Under 10%

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

Our U.S. Benefits include :

  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!
  • EEO Statement

    Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

    We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

    We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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    Ux Researcher • Plantation, FL,

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