In this role you will own and define our User Research strategy and long-term research roadmap for understanding and advancing Diversity, Equity and Inclusion for our employees around the world. You will leverage your deep research expertise and applied experience to propose and personally execute impactful research that influences our internal processes and end-to-end experience across Amazon. In this role you will collaborate with business lines across Amazon, product organizations and executive leadership to identify practices and contributing factors that may unintentionally perpetuate societal inequities for employees. You will utilize your extensive applied experience to design rigorous research focused on unravelling complex issues while challenging conscious and unconscious biases.
In addition, you will aid in defining and identifying evidence based best practices and interventions that foster programmatic success and equitable outcomes. Your research will inform and guide decisions as we create inclusive, equitable, and employee-focused experiences.
If you are passionate about using research to inform early strategic decision making, enjoy collaborating closely with diverse and highly skilled people, and like your efforts to translate into impact on the employees of one of the largest companies in the world, we want you on our team.
Key job responsibilities
- Championing a human-centered, responsible, and participatory approach to ensure ethical and inclusive outcomes, including inclusive facilitation experiences, research interactions that feel reciprocal, and respectful & responsible research recruiting practices.
- Lead strategic research projects, driving research findings into actionable insights and inclusive experiences through a co-creative, equitable, and socially responsible approach to design.
- Define a human-centered, multidisciplinary approach in shaping meaningful ML and generative AI solutions create inclusive, equitable, and socially responsible experiences and products.
- Define research strategy and lead research initiatives where the employee and business strategy has yet to be defined.
- Dive deep into both qualitative and quantitative data in order to bring forward actionable insights that generate innovations and help partner teams make informed decisions.
- Influence across business lines and organizations through fluid and effective communication with both senior executives and the team, striking a balance in tone and content to service multiple audiences.
About the team
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and design to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, research, design and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- 5+ years proven success leading user research projects with demonstrated impact.
- Portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas).
- 5+ years of experience managing all stages of research design (study design, test creation, recruiting, moderation, analysis, reporting).
- 5+ years of experience with research methods including: field research, co-creation, participatory research, usability, focus groups, survey design, and data analysis including statistical measures.
- BS in Human Factors, Cognitive Psychology, Human Computer Design Engineering or related discipline.
PREFERRED QUALIFICATIONS
- MS or Ph.D. in Human Factors, Cognitive Psychology, Human Computer Design Engineering or related discipline.
- Excellent communication, presentation, interpersonal and analytical skills; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization.
- An unfailing passion and capacity to advocate on behalf of our users.
- The ability to manage ambiguity, work autonomously, and multi-task in a fast-paced environment.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $137,000/year in our lowest geographic market up to $226,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.