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Web Optimization Manager

ManagerManagerOtherRemoteSeniorTeam 51-200Since 2003H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

166 days ago

Salary

46 - 48 / hour

Seniority

Senior

Bachelor Degree4 yrs expEnglish

Job Description

Web Optimization Manager

Royal Communications Consultants

• Identify friction points in the user journey through behavioral data analysis and deliver strategic, high-impact recommendations that enhance usability, engagement, and conversion. • Apply a critical lens to data by questioning assumptions, investigating underlying user behaviors, and continuously refining hypotheses to uncover deeper user insights and inform optimization priorities. • Develop and prioritize testable hypotheses grounded in both quantitative and qualitative insights to drive iterative improvements in site performance and user flow. • Own the development and execution of a robust testing roadmap, including A/B and multivariate tests, collaborating with Product, UX, and Marketing Operations to implement. • Leverage Heap and Power BI to monitor user behavior and site performance, delivering data-driven insights that inform optimization strategies and align with core KPIs. • Partner closely with data analysts to validate findings and ensure optimization decisions are backed by statistically significant results and business impact. • Synthesize complex data into compelling narratives that clearly communicate optimization outcomes to cross-functional stakeholders. • Collaborate with UX and content strategy teams to recommend and implement changes that improve clarity, usability, and the overall site experience across key journeys. • Align stakeholders around testing priorities and site experience goals, facilitating shared understanding of trade-offs, dependencies, and expected outcomes.

Job Requirements

  • 4-7 years of experience in website optimization, digital experience, CRO (conversion rate optimization), or a similar role.
  • Deep experience working with web analytics platforms (e.g., Heap, Adobe Analytics, Google Analytics).
  • Proficient in A/B and multivariate testing tools such as Dynamic Yield, Optimizely, Google Optimize, Adobe Target, or similar.
  • Strong hypothesis-driven mindset, with a proven ability to design, run, and analyze digital experiments.
  • Advanced analytical skills with the ability to work independently on web data and partner with data teams for deeper analysis.
  • Comfortable working with cross-functional teams including UX, content, product, and engineering to bring ideas to life.

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