Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary in the range of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
The Sr. User Research - Operations is an experienced individual contributor responsible for owning and delivering end‑to‑end Research Ops services and programs. At this level, the role expands beyond execution into service design, operational problem‑solving, and measurable cross‑team impact. Senior Research Ops partners closely with User Researchers, Design Directors, Product Operations, and adjacent research teams to design, deliver, and continuously improve scalable research systems that increase the efficiency, quality, and impact of research across the organization.
Position Responsibilities:
Own and deliver one or more end‑to‑end Research Ops services or programs aligned to the Research Ops strategy and broader research priorities
Design, implement, document, and iterate scalable operational systems that support multiple research teams, products, or business functions
Maintain and evolve research repositories and knowledge‑management systems to ensure insights are findable, reusable, and consistently governed
Support the alignment and communication of user research insights with market and competitive research teams, enabling a more holistic view of customers and users
Manage research participant recruitment panels, incentive models, and fulfillment processes, ensuring ethical, compliant, and efficient participant engagement
Lead moderate‑ to high‑risk operational initiatives, proactively identifying dependencies, risks, compliance considerations, and opportunities for efficiency
Partner closely with User Researchers, Design Directors, Product Operations, Product Managers, Legal, Privacy, and Procurement to translate research needs into effective operational solutions
Create and coordinate agentic, automated, or semi‑automated workflows (e.g., intake, scheduling, synthesis support, reporting) to reduce manual effort and expedite research delivery
Manage vendors, tools, contracts, and operational workflows within defined areas of ownership, ensuring quality, cost‑effectiveness, and compliance
Define, track, and report on operational metrics to demonstrate the impact of Research Ops services and inform prioritization and investment decisions
Contribute to Research Ops standards, documentation, and best practices to improve consistency and maturity across the research organization
Mentor and support more junior Research Ops team members, contributing to onboarding, enablement, and knowledge sharing
Required Qualifications:
Bachelor’s degree required and 4 years’ experience or a Masters’s degree and 2 years’ experience or a PhD and 1 year experience or 8 years of experience
3+ years experience in research operations, project coordination, program coordination, or operations roles
4+ years experience working in UX/Product Design, product, design, marketing, analytics, or customer research environments
Strong working knowledge of Research Ops principles, practices, and industry requirements, including data governance and participant protection
Demonstrated expertise in at least one Research Ops specialty area, with working knowledge across the broader discipline
Proven ability to independently design, deliver, and improve operational systems using service design, automation, and program management practices
Experience managing research repositories, participant panels, vendors, and operational initiatives with limited supervision
Ability to use qualitative insights and quantitative metrics to evaluate effectiveness, communicate impact, and drive continuous improvement
Demonstrated ability to independently design and deliver operational services that scale across teams or products
Use 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
Additional Information:
May require periodic travel
Drug Testing
Benefits
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