
Customer Experience Research Lead
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in Florida, +11 more states.
• Manage intricate, high-impact research projects from inception to completion, including defining business inquiries and research strategies, execution, synthesis, storytelling, and the activation of insights.
• Create strategic research plans and timelines in collaboration with business and product leaders.
• Consult with cross-functional partners to convert vague business challenges into research questions and data-driven decisions.
• Establish and advocate for research best practices, standards, and frameworks.
• Conduct and supervise quantitative, qualitative, and mixed-methods research efforts.
• Integrate insights across various studies and data sources to uncover customer needs, identify experience gaps, trends, and strategic opportunities.
• Transform research results into narratives and actionable recommendations for senior leadership.
• Provide daily leadership, mentoring, feedback, and development for research team members.
• Take on formal leadership responsibilities, including the management and development of direct reports as the function expands.
• Contribute to Cencora’s research practices and promote a customer-focused, evidence-based decision-making culture.
• Over 7 years of experience in customer experience, market research, or a related field.
• More than 3 years of experience in mentoring, coaching, or providing research guidance to fellow researchers.
• Proven formal training in research methodologies, behavioral science, study design, and analysis.
• Bachelor's degree in market research, Psychology, Cognitive Science, Human Centered Interaction (HCI), Human Factors, Sociology, Anthropology, or another research-intensive discipline with formal training in research methodology and design.
• A portfolio showcasing previous work experience and deliverables.
• Advanced expertise in both qualitative and quantitative research methodologies, including survey design and in-depth interviewing.
• Proficient in survey and research platforms such as Qualtrics, UserTesting, and Medallia.
• Knowledge of statistical analysis and data interpretation, encompassing both descriptive and inferential statistical techniques.
• Experience with data analysis and visualization tools including Excel, SPSS, SAS, Jamovi, R, and Python.
• Proven experience in synthesizing and analyzing qualitative and quantitative datasets.
• Familiarity with conducting or a strong understanding of Bayesian statistics.
• Acquainted with collaboration tools such as Mural and Miro.
• Medical, dental, and vision insurance.
• Backup dependent care support.
• Adoption assistance programs.
• Infertility coverage benefits.
• Family building support services.
• Access to behavioral health solutions.
• Paid parental leave provisions.
• Paid caregiver leave options.
• Training programs available.
• Resources for professional development.
• Mentorship opportunities.
• Employee resource groups.
• Opportunities for volunteer activities.
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