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.
Job responsibilities
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