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Senior Manager, Conversion Rate Optimization

nus · Remote, USA · United States · Remote

Pay: USD 78,496 – 105,974 a year

Posted Sep 30, 2026

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Compensation Range: Annual Salary: $78,496.00 - $105,974.00 Position Summary: The Senior Manager, Experimentation & Optimization leads conversion rate optimization (CRO) and experimentation for National University’s website and Digital experiences. This is a strategic, data-driven role responsible for defining and executing the CRO roadmap, proactively identifying optimization opportunities, and improving website experiences based on prospective student behavior, user insights, performance data, and lifecycle stage. The primary goal is to increase inquiry, application, and enrollment conversion through data-informed testing, continuous optimization, and an improved user experience. Essential Functions: CRO Strategy & Roadmap Own the CRO and experimentation roadmap for NU’s website and Digital experiences including opportunity identification, intake, prioritization, sequencing and the testing calendar. Define, execute, and continuously optimize data-driven testing and optimization strategies that improve user experience, engagement, conversion, and content relevance across prospect-facing web experiences. Own website experimentation roadmap, related platform strategy, and associated vendor/partner relationships. Establish testing SLAs, QA standards, governance, and deployment practices that prevent conflicts across concurrent tests, campaigns, and releases. Maintain a repository of hypotheses, test results, learnings, optimization opportunities, and best practices that accelerate knowledge sharing and continuous improvement.   Experimentation & Proactive A/B Testing Own the complete experimentation lifecycle: opportunity identification, hypothesis development, prioritization, test design, implementation, QA, launch, measurement, readout, and production rollout of winners. Proactively source the testing pipeline from behavioral analytics, session data, UX research, and website funnel diagnostics rather than operating as a request-driven queue. Design and run A/B, multivariate, and multi-page experiments, ensuring appropriate sample sizing, run length, and statistical significance before a result is acted on. Optimize information architecture, content presentation, navigation, page experience, and calls-to-action using customer insight and behavioral data. Translate experimentation outcomes into optimization recommendations that inform future website roadmaps, experience strategy, and investment priorities.   Journey Discovery and Experience Optimization Analyze the end-to-end prospective student journey to identify friction, abandonment, and conversion opportunities using behavioral analytics, session replay, UX research, and customer feedback. Champion continuous optimization of program discovery across web properties, including on-site search, filters, navigation, program finders, and recommendation surfaces. Develop targeted website experience strategies using established audience segments, intent signals,…