Lead the design and execution of primary research programs, including quantitative surveys, qualitative interviews, ethnographies, and concept testing
Translate complex customer insights into clear, actionable recommendations that guide strategic decisions across product, marketing, and CX teams
Oversee the research roadmap and manage partnerships with external research vendors and agencies
Champion customer-centricity across the organization by embedding research insights into planning and go-to-market processes
Manage and mentor a team of researchers, ensuring best practices in methodology, analysis, and stakeholder communication
Work cross-functionally with analytics, data science, and UX research to integrate multiple data sources for a holistic view of the customer
Present executive-level insights that inform C-suite priorities, market positioning, and innovation strategy
Partner with Go-To-Market and engineering teams as a peer
Work side-by-side with Go-To-Market, Engineering, AI and data science leadership to evaluate technical options, identify technical tradeoffs, estimate effort, and make architecture recommendations where applicable
Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting
Drive business impact through stakeholder partnership
Build trust-based relationships with senior business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help
Run monthly/quarterly portfolio reviews to ensure delivery stays on track and aligned to business needs
Frame ambiguous problems, generate hypotheses, and drive to recommendations when there's no clear precedent
Manage through transition and complexity
Lead data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters
Requirements
Bachelor’s degree in Marketing, Business, Behavioral Science, or related field; advanced degree preferred
1-3+ years of experience in customer insights, market research, or related fields, with at least 5 years in a leadership capacity
Proven success in designing and implementing large-scale primary research studies
Expertise in both qualitative and quantitative methods and in synthesizing research into business impact
Strong data storytelling and communication skills, including executive presentation experience
Experience with tools such as Qualtrics, Medallia, SPSS, or similar research platforms
Excellent leadership, collaboration, and vendor management abilities
Preferred: Experience managing AI/ML product development end-to-end, from problem framing through deployment and iteration
Preferred: Experience building customer-facing data products, not just internal tools / dashboards
Preferred: Experience with building LLM ready semantic layer