U.S. Bank
Senior Manager – Experimentation and Digital Analytics Engineering
U.S. Bank, Atlanta, Georgia, United States, 30383
Overview
Senior Manager – Experimentation and Digital Analytics Engineering role at U.S. Bank. Lead the experimentation and analytics engineering team to support A/B and multivariate testing and digital analytics implementation across digital platforms (web and mobile). Base pay range: $133,365.00/yr - $156,900.00/yr Responsibilities
Lead the experimentation engineering team and collaborate across organizational boundaries to deliver randomized controlled experimentation solutions across all digital customer touchpoints, including web, iOS, and Android platforms. Serve as the primary point of contact and subject matter expert for all experimentation and optimization engineering efforts. Provide technical consulting and hands-on support to software developers, product managers, marketers, and other stakeholders on the design and execution of A/B/n and multivariate experiments. Scale experimentation engineering services to support hundreds of product and marketing teams. Develop self-service tools and define standardized processes to improve experiment velocity, trustworthiness, insight quality, and tracking. Define and maintain analytics data requirements. Develop implementation guidelines and ensure websites and mobile applications are appropriately implemented, with accurate generation and reporting of key metrics. Integrate experimentation requirements into agile product development and CI/CD pipelines. Enable a scalable experimentation framework to test and validate new features and ideas rapidly. Stay current with emerging technologies and trends in experimentation and analytics. Evaluate and implement platform enhancements using a practical buy-vs-build approach. Explore and integrate advanced experimentation platforms beyond Adobe Target, such as Optimizely, Eppo, LaunchDarkly, and other market-leading tools to enhance experimentation capabilities. Drive innovation in experimentation methodologies by incorporating machine learning and AI-driven approaches to optimize and personalize user experiences. Collaborate with data science teams to leverage advanced analytics and predictive modeling for deeper insights and more effective experimentation strategies. Design and implement robust data architecture to support experimentation and analytics needs, ensuring data integrity, scalability, and accessibility. Develop and maintain data repositories that enable advanced analysis of experiment results, including the integration of data from multiple sources and platforms. Ensure data governance and compliance with industry standards. Qualifications
Bachelor\'s or advanced degree in Computer Science, Engineering, or a related field. 5+ years of experience in A/B testing and digital analytics experience, including platform implementation, test execution, and analysis. Required Skills/Experience
Proven leadership experience in building and scaling high-performing engineering teams focused on experimentation. Solid understanding of the technical and statistical foundations behind randomized controlled experiments. Hands-on experience with leading experimentation platforms (e.g., Adobe Target, Optimizely, etc.), digital analytics tools (e.g., Adobe Analytics, Google Analytics), and data visualization tools (e.g., Tableau, Looker). Strong SQL skills. Familiarity with web technologies (HTML, CSS) and client-side programming (JavaScript, Android, iOS) is a plus. Experience with data architecture, machine learning and AI technologies to enhance experimentation and analytics capabilities. Strong collaboration skills to work effectively with cross-functional teams, including data science, product management, and marketing. Expertise in data architecture and data management to ensure the necessary infrastructure for advanced analysis of experiment results. The role offers a hybrid/flexible schedule , which means there is an in-office expectation of 3 or more days per week and flexibility to work outside the office location for the other days. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. Benefits
Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We may conduct background checks and adhere to applicable laws and regulations. This description reflects information as of the date posted and may be updated.
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Senior Manager – Experimentation and Digital Analytics Engineering role at U.S. Bank. Lead the experimentation and analytics engineering team to support A/B and multivariate testing and digital analytics implementation across digital platforms (web and mobile). Base pay range: $133,365.00/yr - $156,900.00/yr Responsibilities
Lead the experimentation engineering team and collaborate across organizational boundaries to deliver randomized controlled experimentation solutions across all digital customer touchpoints, including web, iOS, and Android platforms. Serve as the primary point of contact and subject matter expert for all experimentation and optimization engineering efforts. Provide technical consulting and hands-on support to software developers, product managers, marketers, and other stakeholders on the design and execution of A/B/n and multivariate experiments. Scale experimentation engineering services to support hundreds of product and marketing teams. Develop self-service tools and define standardized processes to improve experiment velocity, trustworthiness, insight quality, and tracking. Define and maintain analytics data requirements. Develop implementation guidelines and ensure websites and mobile applications are appropriately implemented, with accurate generation and reporting of key metrics. Integrate experimentation requirements into agile product development and CI/CD pipelines. Enable a scalable experimentation framework to test and validate new features and ideas rapidly. Stay current with emerging technologies and trends in experimentation and analytics. Evaluate and implement platform enhancements using a practical buy-vs-build approach. Explore and integrate advanced experimentation platforms beyond Adobe Target, such as Optimizely, Eppo, LaunchDarkly, and other market-leading tools to enhance experimentation capabilities. Drive innovation in experimentation methodologies by incorporating machine learning and AI-driven approaches to optimize and personalize user experiences. Collaborate with data science teams to leverage advanced analytics and predictive modeling for deeper insights and more effective experimentation strategies. Design and implement robust data architecture to support experimentation and analytics needs, ensuring data integrity, scalability, and accessibility. Develop and maintain data repositories that enable advanced analysis of experiment results, including the integration of data from multiple sources and platforms. Ensure data governance and compliance with industry standards. Qualifications
Bachelor\'s or advanced degree in Computer Science, Engineering, or a related field. 5+ years of experience in A/B testing and digital analytics experience, including platform implementation, test execution, and analysis. Required Skills/Experience
Proven leadership experience in building and scaling high-performing engineering teams focused on experimentation. Solid understanding of the technical and statistical foundations behind randomized controlled experiments. Hands-on experience with leading experimentation platforms (e.g., Adobe Target, Optimizely, etc.), digital analytics tools (e.g., Adobe Analytics, Google Analytics), and data visualization tools (e.g., Tableau, Looker). Strong SQL skills. Familiarity with web technologies (HTML, CSS) and client-side programming (JavaScript, Android, iOS) is a plus. Experience with data architecture, machine learning and AI technologies to enhance experimentation and analytics capabilities. Strong collaboration skills to work effectively with cross-functional teams, including data science, product management, and marketing. Expertise in data architecture and data management to ensure the necessary infrastructure for advanced analysis of experiment results. The role offers a hybrid/flexible schedule , which means there is an in-office expectation of 3 or more days per week and flexibility to work outside the office location for the other days. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. Benefits
Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We may conduct background checks and adhere to applicable laws and regulations. This description reflects information as of the date posted and may be updated.
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