Manager, Decision Science-Digital Marketing Analytics

Data Science, Marketing

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$106,300.00 - $175,400.00

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At Travelers, we believe that data-driven decisions are essential to driving business success. We are seeking a Manager of Decision Science with deep experience in marketing to evaluate the impact of organic website traffic and content marketing strategies. This role sits at the intersection of advanced analytics and digital marketing, helping to optimize content effectiveness, engagement, and demand generation through actionable intelligence.
Reporting to the AVP of Marketing Analytics and Decision Science, you will leverage statistical modeling, machine learning, and performance measurement tools to assess the impact of SEO-driven content strategies. Your analyses will help will shape digital marketing decisions by providing clear, actionable insights that drive audience engagement and business growth.What Will You Do?

• Leverage Google Analytics 4 and related tools to measure and test organic performance and identify potential audience segments while distinguishing results from the influence of paid amplification.
• Partner with the Content Marketing and SEO teams to refine organic KPIs and align with broader integrated marketing goals; over time, add GEO (Generative Engine Optimization) KPIs and analytics to the mix.
• Develop a deep understanding of the business to procure data for a specific analysis or prototypes for new data asset, while following coding best practices.
• Develop a strong command of internal data sources, explore new and unstructured data sources to assess potential business value.
• Determine and use appropriate techniques that may include diagnostic analysis, active monitoring and/or multivariate methods designed to answer business questions, test hypotheses, or assess impacts and results.
• Explore and suggest new data and analytic tools, techniques and industry best practices to apply to business problems.
• Apply appropriate visualization (charts, graphs, maps, etc.) to analytic insights so that they may be delivered to various audiences.
• Interpret and communicate findings to key stakeholders. Recommend optimal business action based on balancing business constraints and analytical findings.
• Leverage existing organizational partnerships across lines and functional teams to influence analytic outcomes.
• Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts."
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in a STEM related field, or a Business School Master’s Degree with a concentration in a technical or analytical field.
• Four years of related data and analytic experience.
• Experience using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose.
• Experience working on large-scale multidimensional data using intermediate knowledge of open-source cloud-enabled analytical programming languages.
• Manage multiple projects simultaneously and follow through to ensure timely completion.
• Ability to foresee challenges and proactively look for ways to create more efficient processes for the business.
• Excellent written and verbal communication skills with the ability to explain analyses and methodology with business partners.
• Proactively build and own professional business relationships across the data & analytics community across the Enterprise.

What is a Must Have?

• Bachelor’s degree or three years of experience in data, analytics, engineering, science, technical analytical fields or relevant experience.