Bring your industry trends and knowledge to our team to shape exceptional user experiences through cutting-edge research, influencing product design and functionality.
As an Experience Research Senior Associate in Corporate Employee Experience, you will play a pivotal role in shaping user experiences across our products and services. Leveraging advanced proficiency in research methods, analysis, and both quantitative and qualitative techniques, identify employee needs and translate them into actionable insights and recommendations. You will act as a core contributor to aid in developing research studies that answer user needs. Your work will directly impact the design, architecture, and functionality of our offerings, collaborating with cross-functional teams to contribute to discussions on design and research, and leading the decision on which methods best suit key design questions.
Employ a variety of research methodologies, such as usability testing, interviews, surveys, heuristic evaluation, ethnographic observations, participatory design, and card sorting.
For this position, the hiring team is especially interested in a researcher with expertise in digital ethnography and observation; or a researcher with a skill set focused on innovation in research methodologies.
Analyze, synthesize and report on research studies.
Job responsibilities
- Conduct and execute research studies using advanced research methods, such as surveys, interviews, ethnography, and quantitative and qualitative techniques, to gather customer insights
- Analyze and interpret data, identify patterns and trends, and provide actionable recommendations to inform user experience design decisions and facilitate improvements in customer satisfaction and engagement
- Collaborate with cross-functional teams to ensure the integration of user insights into product development processes based on research findings
- Contribute to the creation and refinement of experience research strategies and connect craft work to business goals and success metrics, taking into consideration downstream implications
- Stay current with industry trends and incorporate knowledge into team insights
- Demonstrate interest in and understanding of current trends in AI/ML and data processing
Required qualifications, capabilities, and skills
- Formal training or certification on experience research concepts and 3+ years applied experience
- 3+ years of experience or equivalent expertise in generative and evaluative user experience research, employing advanced research methods and techniques
- Demonstrated proficiency in both quantitative and qualitative research methods, including survey and interview design, ethnography, and data analysis
- Advanced knowledge of user experience design principles and practices, with a focus on how ethnographic principles influence effective user experiences
- Advanced understanding of current research methodologies, with the ability to review and understand how to apply current research practices to better inform experience designs
- Demonstrates proficiency in AI-assisted research methodologies and data analysis
- Stay on top of AI use for research trends including ethics, privacy, human in the loop, and accountability
Preferred qualifications, capabilities, and skills
- At least a Master's Degree in a relevant field (Psychology, Cognitive Science, Human Factors, Human Computer Interaction (HCI), Human Machine Interaction (HMI), Anthropology, Sociology, or similar), or equivalent practical experience
- Experience working in qualitative or mixed methods user research for digital products
- Understanding of the strengths and weaknesses of different research methods, and when and how to apply them in the product development process
- Excellent communication and presentation skills
- Ability to work and lead independently and feel comfortable navigating ambiguity
- Familiarity and comfort with Software Development Lifecycle (SDLC) concepts
- Comfortable working with a wide range of stakeholders including product managers, design leads, development leads, and others representing various business needs
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
