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Chase · 3 months ago

Vice President Experience Research, Machine Learning

4 Chase Metrotech Ctr, Brooklyn, NY, 11245, US

Full-time

Onsite

Mid, Senior Level

$138K/yr - $200K/yr

5+ years exp

Chase is a leading financial services firm, and they are seeking a Vice President of Experience Research in Machine Learning to enhance user experience across their products and services. This role involves developing research strategies to gain insights into customer needs and collaborating with cross-disciplinary teams to inform product designs.

BankingFinancial Services

Responsibilities

Lead, design and execute research studies within a quad model, to discover ways of using AI/ML to optimize servicing operations

Partner with Data Analytics to understand feature adoption, design studies to uncover adoption barriers, and remedies

Design, and lead co-design workshops, championing the voice of the user and design iteration

Define and execute usability assessments, and manage dissemination of results and integration of findings in product road map

Foster collaboration between research, design and product team, including participating and presenting in product walls, mentoring, and cross-team initiatives

Mentor and guide junior researchers and designers, fostering a culture of continuous learning and knowledge sharing

Monitor industry trends and advancements in user experience research methodologies, incorporating innovative techniques to maintain a competitive edge

Qualification

User experience researchMixed methods approachesAdvanced data analysisEthnographyCross-functional collaborationPresentation skillsStorytelling skillsMentoring

Required

5+ years of experience or equivalent expertise in generative and evaluative user experience research, with experience in mixed methods approaches

Proven ability to conduct various research techniques, such as ethnography, surveys, interviews, and advanced data analysis, to derive actionable insights for user experience design

Demonstrated knowledge of advanced qualitative methods, with evidence of implementing findings that improved product or feature design

Experience collaborating with cross-functional teams, including UX designers, product managers, data science, data analytics to drive user-centric decision-making to deliver scalable outcomes