Experience Research Vice President

J.P. Morgan; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial institution in London seeks a Vice President of Experience Research to enhance product user experiences. The ideal candidate will leverage expertise in quantitative research methods and collaborate with cross-functional teams. Responsibilities include designing research studies, analyzing data, and translating insights into actionable recommendations. Advanced qualifications and experience in user experience research are preferred.

Qualifications

• Formal experience or expertise in user experience research.
• Proven ability to conduct research techniques like surveys and A/B tests.
• Experience synthesizing complex research findings.

Responsibilities

• Design and execute research projects for user experience.
• Analyze data and translate insights into recommendations.
• Monitor industry trends to maintain a competitive edge.

Skills

Quantitative research methods

User experience research

Collaboration with cross-functional teams

Data analysis and visualization using Python or R

Education

Advanced degree in data science or related field

Tools

Tableau

Adobe Analytics

Job description

Overview

Join us and apply your research skills to understanding digital product users and driving decisions which make those products better for our users.

As a Vice President of Experience Research in the Behavioral Insights Team, you will play a pivotal role in shaping the user experience across our products and services. Leveraging your deep expertise in research methods and digital product delivery, you will design and execute research to uncover valuable insights into the wants, needs, and abilities of our users. Apply your advanced knowledge of quantitative methods to critically analyze the effectiveness of our existing and future designs as you collaborate with cross-disciplinary teams — your work will drive effective product decisions across the firm. You will join a research team with a culture of continuous learning, which will benefit from your thought leadership and expertise.

Responsibilities

• Partner closely with colleagues across product, design and technology to design and execute research projects which inform strategy and decision-making
• Analyze and interpret data using advanced quantitative methods and translate insights into actionable recommendations to enhance user experience
• Define relevant metrics and facilitate their implementation to provide meaningful insights about product performance and user experience
• Advise colleagues on what to measure about user experience, both by tracking user behavior and by running user surveys
• Monitor industry trends in user experience research methods and incorporate innovative techniques to maintain a competitive edge in the market
• Collaborate with others as part of a culture of continuous learning and knowledge sharing within the user experience team

Required qualifications, capabilities, and skills

• Formal experience or equivalent expertise in generative and evaluative user experience research, with a strong focus on quantitative research methods
• Proven ability to conduct various research techniques, such as surveys, A/B tests and statistical modelling, to derive actionable insights to inform product decisions
• Experience in collaborating with cross-functional teams, including product managers, UX designers and developers, to propel user-centric decision-making and inform product prioritization
• Experience in designing high-quality research studies with an iterative mindset, with an ability to adapt study parameters to accommodate changing product design needs
• Experience analyzing and visualizing data using Python or R, focused on developing reproducible analytical pipelines
• Experience synthesizing large datasets from different sources to derive meaningful insights
• Experience distilling complex research findings into actionable insights and to communicate insights effectively to audiences with different levels of seniority and familiarity with research

Preferred qualifications, capabilities, and skills

• Advanced degree (e.g. MSc, PhD) in data science, behavioral science, social psychology, statistics, or another related field
• Experience with advanced statistical methods (e.g., longitudinal analysis, multi-level modeling, AI/ML techniques)
• Experience using experimental and quasi-experimental designs
• Familiarity with Tableau and/ or Adobe Analytics