Position Responsibilities:
Architect enterprise-level research systems, including taxonomies, sampling frameworks, and insight lifecycle management.
Lead multi‑portfolio research programs that inform strategic product investments with evidence-based insights.
Identify enterprise-wide user problems, patterns, and opportunities across ecosystems.
Set standards for research quality, ethics, privacy, and governance.
Develop AI-native research tools, evaluation methods, and automation pipelines.
Partner with Research Operations on governance, research frameworks, panel strategy, vendor selection, and tooling decisions.
Lead alignment conversations across product, design, analytics, and engineering.
Develop internal research curriculum and train research practitioners.
Review and approve methodologies for high-risk or high-visibility initiatives.
Build longitudinal insight systems that reveal trends across quarters and years.
Oversee insight repository architecture, metadata, and organizational discoverability.
Shape the culture of research excellence across CAI and the mechanisms to measure research quality across the enterprise.
Required Qualifications:
Bachelor’s degree in and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 6years’ experience; a Ph.D. and 3 years’ experience in a related field; or 12 years’ experience in a related field
- Mastery across all core user research methods and advanced techniques
- Demonstrated success shaping research strategy for large enterprises
- Expertise in multi-source synthesis, longitudinal studies, and enterprise frameworks
- Excellent communication and persuasion skills at executive levels
- Deep understanding of CAI’s product ecosystems, customer journeys, and industry
- Experience mentoring and developing Lead and Senior-level researchers
- Strong business literacy and ability to connect insights to P&L outcomes
- Proven ability to manage complex cross-functional alignment
- Expert-level understanding of privacy, compliance, and ethical research constraints
- Highly skilled in behavioral analytics, experimentation, and complex modeling
- Use of general purpose LLM tools to analyze and synthesize user behavior, identify patterns, and prioritize opportunities
- Use AI to accelerate discovery, experimentation, development, and recommend improvements throughout the product design process
- Bachelor’s degree required; advanced degree strongly preferred
- 10+ years applied research experience
Additional Information:
Significant travel may be required to lead executive workshops and ecosystem research
Drug Testing
To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited.
