Senior Manager – Experimentation and Digital Analytics Engineering

Overview

U.S. Bank is seeking an experienced Senior Manager – Experimentation and Digital Analytics Engineering to lead our experimentation and analytics engineering team. In this role, you'll provide world-class support for A/B and multivariate testing and digital analytics implementation across our digital platforms, including web and mobile applications. The ideal candidate will bring a combination of technical expertise, consultative ability, and relationship management skills.

You should be well-versed in modern experimentation methodologies and the latest data analytics technologies.

• Lead our 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 our 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, Launch Darkly and other market-leading tools to enhance our 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.

• 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.

• 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’s an in-office expectation of 3 or…