Lead CX/UX Research Consultant - AI-Enabled Experiences

Collaborating with Leaders in Product Management, UX Design, and Engineering, to define the long‑term vision and strategy for user experience research for the segment, aligning it with business objectives and goals. Provide close partnership for senior business stakeholders and development heads to deliver world‑class experiences through data driven decision making Partner with Product Managers to understand business goals and objectives both at the portfolio and product level. Lead the planning and execution of user research initiatives, employing a variety of generative and evaluative research methods. Plan and execute generative and evaluative studies of various complexities and methodology. Partner with embedded UX design leads/teams to evaluate prototypes and solutions with customers Ensure Product teams gain a deep understanding of user needs, behaviors, and motivations. Ensure that the product teams are using research findings, data and insights to inform design decisions and validate design solutions. Drive the culture of feedback and metrics to drive continuous improvement in the user experience. AI Analysis: Use AI‑assisted data analysis techniques to accelerate synthesis of qualitative and quantitative research data (e.g., clustering themes, identifying patterns across large datasets, and surfacing emerging signals). Apply AI‑supported persona development and segmentation approaches to generate and evolve evidence‑based user archetypes grounded in behavioral, attitudinal, and contextual data. Contribute to the exploration and use of AI‑enabled journey mapping and experience modeling approaches (e.g., scenario simulation, agent‑based representations, or dynamic journey artifacts) to help product teams reason about complex, multi‑step user workflows. Partner with Product, Design, and Data Science to evaluate and shape the use of AI systems that support research operations, customer intelligence, and experience measurement. Critically assess AI‑generated insights for bias, validity, explainability, and alignment with user needs, regulatory constraints, and ethical design principles. Provide guidance to stakeholders on where AI meaningfully enhances research and decision‑making—and where human‑led research remains essential. Stakeholder management: Collaborating with cross‑functional teams, including product managers, developers, and stakeholders, to ensure alignment and a shared understanding of user experience goals. Regular, transparent communication of status and metrics to management and stakeholders Advocate for, and actively implement, standard processes to ensure quality and consistency of work, and a joined‑up approach for all teams in the business group/division. Involve all members of cross‑functional teams in research and analysis Industry awareness: Staying up to date with the latest trends, technologies, and best practices in user experience research. Provide thought leadership and guidance on emerging UX trends and innovations. Keep up to date with the latest UX practices, innovations and tools Requirements At least 10 years of relevant research experience Significant experience working with senior clients, stakeholders, and developers Experience in affecting large culture change that drives business performance Exceptional communication and presentation skills Experience working in a Lean/Agile development environment Excellent time and project management skills Some experience in Finance and Compliance domain knowledge Some experience working with organizational change management Bachelor's degree/University degree, Master's degree a plus Core Competencies Demonstrates extensive experience in user experience research, employing generative and evaluative methods to inform design decisions. Proficient in AI‑assisted data analysis and stakeholder management, ensuring alignment with business objectives and user needs. Highest-signal resume keywords User Experience Research AI‑Assisted Data Analysis Stakeholder Management Lean/Agile Development Project Management ATS Optimization Keywords Hard Skills Generative Research Methods Evaluative Research Methods Data‑Driven Decision Making Persona Development Journey Mapping Experience Modeling Qualitative Research Quantitative Research User Needs Assessment Cultural Change Management Soft Skills Exceptional Communication Presentation Skills Collaboration Feedback Culture Advocacy Transparency in Communication Industry Keywords Finance Domain Knowledge Compliance Domain Knowledge Organizational Change Management User Experience Trends Best Practices in UX Tools & Technologies AI Systems Research Tools Prototyping Tools Data Analysis Software User Experience Tools #J-18808-Ljbffr Jobtailor