Research Program Manager IV

Build practical AI-enabled research operations workflows, including configuring internal tools, translating repeatable support and discovery needs into AI-assisted processes, evaluating AI vendors and self-service tools, and defining the controls needed for quality, privacy, provenance, measurement, and human review. This role sits at the intersection of research operations, analytics, tooling, and operational change: building the systems that make research work visible, measurable, and easier to manage across a large, compliance-sensitive product organization.

Title: Research Program Manager IV
Location: Remote 
Duration: 12 Months
Pay: 80-100/hr

Description: 
**** serves more than 3 billion people in over 180 countries. *** UXR Research Operations enables international research at that scale through the systems that support study planning and launch, vendor/tooling and compliance workflows, portfolio health, research velocity, and product impact measurement.

We are seeking a hands-on Research Operations Program Manager, Systems & Analytics to strengthen the execution layer behind that work. This role sits at the intersection of research operations, analytics, tooling, and operational change: building the systems that make research work visible, measurable, and easier to manage across a large, compliance-sensitive product organization.

The right person is an operator-builder: analytically strong, operationally practical, and comfortable taking ambiguous problems from diagnosis through adoption. They bring the judgment to know when to move independently, when to bring evidence forward, and how to build systems that make complex work easier to execute.

Responsibilities
Own the execution and continuous improvement of program operating cadences, including intake tracking, milestone and risk management, and stakeholder updates
Build practical AI-enabled research operations workflows, including configuring internal tools, translating repeatable support and discovery needs into AI-assisted processes, evaluating AI vendors and self-service tools, and defining the controls needed for quality, privacy, provenance, measurement, and human review
Build and run the research operations portfolio system, including project status, data completeness, vendor/tool usage, and recurring portfolio reporting
Identify recurring process bottlenecks from support requests, chat history, tracker data, and stakeholder feedback; translate those patterns into documentation, self-service coverage, automation, or escalation paths
Establish measurement for research velocity, portfolio health, tool adoption, operational cost efficiency, self-service coverage, and AI-enabled workflow impact
Apply hands-on analysis across SQL, spreadsheets, vendor data, tracker data, and qualitative operational signals to surface performance trends, trade-offs, and decisions requiring leadership input
Drive adoption of new systems and workflows by instrumenting usage, closing data-quality gaps, training users, gathering feedback, and iterating based on what the team actually uses
Work with research leadership, data science, finance, legal/privacy, operations, and vendor partners to manage dependencies, address data gaps, and prepare evidence-based recommendations for decision-makers

Must Have:

• 8+ years of program and project management in a cross functional environment
• 3+ years in analytics/metrics-focused work (program analytics, biz ops, data analyst, or similar)
• Experience building dashboards using BI tools (Tableau, Looker, etc) and recurring reporting for stakeholders/leadership
• SQL & T-SQL skills  Strong hands-on SQL and Excel or Google Sheets skills, with experience independently analyzing complex operational data
• Experience with data workflow automation or lightweight systems development using tools such as Python, Apps Script, SQLite, or comparable technologies

Nice to Have:

• Experience supporting research, product insights, or research operations
• Familiarity with data governance, privacy, provenance, access controls, or compliance-sensitive operations
• Experience with vendor, procurement, budget, or program-impact measurement

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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