• Lead, mentor, and grow a team of Data Scientists, Quantitative, and Qualitative UX Researchers, ensuring alignment with organizational goals and fostering professional growth.

• Identify and prioritize high-visibility, high-impact research opportunities and data science initiatives that drive business value.

• Oversee day-to-day operations, provide guidance, and support team members in their research and analytical tasks.

• Cultivate a collaborative and high-performance team culture, encouraging innovation and continuous improvement.

• Develop and implement research strategies and methodologies that integrate quant & qual UX research and data science to deliver actionable insights.

• Deliver impactful results by effectively managing and supporting team members to demonstrate the value of quant research, analytics, and mixed-method approaches.

• Lead the org-wide quantitative method learning program to shift the culture to be more inclusive of quant and analytics data.

• Develop and govern standardized UX Research methods as well as analytics best practices to be deployed across the UX Research org and beyond.

• Partner closely with Research, Design, PM, Customer Experience, Marketing, Sales, and Engineering across business units in solving problems, having an alignment and building perspectives.

• Present insights and directions for product and design development to Sr. Executives and leaders, with the ability to convey technical concepts to non-technical audiences.

• Develop roadmaps, proactively forecast resource needs, and hire world-class talent.

Qualifications

• At least 8 years of industry experience, or an equivalent combination of education in Computer Science, Statistics, Data Science, Mathematics, Human Factors, or HCI.

• At least 3 years of experience in people management and team growth.

• Proven ability to lead and mentor teams of Data Scientists, Analysts, and Quantitative/Qualitative UX Researchers.

• Demonstrated experience working cross-functionally with senior leaders and stakeholders in different departments (design, analytics, product) to drive alignment and influence decision-making across the organization.

• Deep knowledge of statistical modeling, machine learning, and data mining techniques.

• Proficiency in programming languages such as Python, R, and SQL.

• Expertise in data visualization tools (e.g., Tableau, Power BI) and the ability to translate complex data into actionable insights.

• Experience with big data tools and platforms, such as Hadoop, Spark, and cloud-based solutions (e.g., AWS, Azure, GCP).

• Advanced knowledge of statistical analysis, experimental design, and survey methodology.

• Strong background in enterprise or B2B software.

• Deep understanding of Qualitative UX research methodologies: user interviews, contextual inquiries, persona creation, usability testing, heuristic evaluation, etc.

• Experience managing a hybrid team of quant UX Research and Data Science.

• Experience in shipping products at a tech company.

Additional Information