Web Optimization Manager
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Job Description
Web Optimization Manager developing data-driven strategies to improve website engagement and conversions. Collaborating with analysts and cross-functional teams to optimize user experience through testing and insights.
Responsibilities:
- 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.
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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