Senior Digital Optimization Manager

Role Overview

• Lead day-to-day CRO and experimentation execution across partner microsites and landing pages (A/B tests, personalization, journey tests).
• Own the testing backlog and execution: identify opportunities, develop hypotheses, prioritize tests.
• Create test strategies and briefs.
• Build WISYWIG no-code tests in web experimentation platform.
• Manage execution from concept to readout.
• Partner with SEO/AEO, UX, Content, Creative, Analytics, and Paid teams to ensure optimization efforts are aligned with discovery, design, and brand guidelines.
• Use web and journey analytics, swimlane analysis, and user research to uncover friction points and growth opportunities, generate high value testing plans, and prioritize opportunities based on impact.
• Use behavioral signals (drop-off, hesitation, rage clicks, form friction) to diagnose UX issues and design meaningful tests.
• Support identification and rollout of personalization use cases, including audience segmentation and next-best-action recommendations.
• Apply UX and conversion best practices (clarity, friction reduction, trust signals, information hierarchy, cognitive load) to identify and prioritize optimization hypotheses.
• Translate insights into clear recommendations.
• Contribute to scaling optimization practices, testing wins, templates, and playbooks across the university portfolio.
• Socialize results, learnings, and best practices across internal teams.
• Support test planning and execution of site migrations as needed.
• Leverage AI to accelerate and facilitate the testing process from ideation to results measurement and scaling.

Requirements

• 6–9 years of experience in digital web optimization, CRO, UX, experimentation, and growth marketing.
• Hands-on experience running A/B tests, personalization, and journey experiments at scale.
• Demonstrated ability to identify high-value optimization opportunities based on UX heuristics, behavioral data, and journey analysis.
• Expert experience in GA4 web analytics.
• Proficient with Optimizely and Full Story.
• Proven ability to turn data into actionable insights that drive conversion and business impact.
• Experience working in multi-site or multi-brand ecosystems where leveraging test learnings across brands was critical.
• Familiarity with personalization platforms, audience segmentation, and machine learning–driven optimization.
• Experience partnering with SEO and UX/Design teams on integrated discovery-to-conversion strategies; experience partnering with development teams on build, execution and QA.
• Background in higher education, OPM, lead generation, or similarly complex digital environments.

Benefits

• Equal-opportunity employer
• Supports a diverse and inclusive workforce