Senior Specialist - Domain Architect for Analytics and AI/ML

Core Responsibilities 1. Evaluates business requirements and the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business demands, interacting with internal and external clients and partners. 2. Constructs the deployment strategy for highly scalable and secure Artificial Intelligence platforms, applications, and systems that operate in various cloud infrastructures and Artificial Intelligence devices successfully. 3. Implements architecture specifications and documents technical and configuration for all users (customers, engineering teams, product teams); solves Artificial Intelligence/Machine Learning solution deployment problems. 4. Forms relationships with trusted advisory stakeholders, and functions as a subject matter expert for Artificial Intelligence/Machine Learning related products and services in specific sectors; stays updated on the latest Artificial Intelligence/Machine Learning technologies and tools. 5. Introduces moderately complex machine learning algorithms and technologies into organizational practices, such as regression models. 6. Executes the statistical analysis on business and processes using machine learning techniques to uncover opportunities for business growth and process improvement. 7. Performs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems. 8. Regularly optimizes statistical models to maximize the performance of machine learning algorithms. 9. Validates business problems and needs; ensures suitable AI technologies and tools are applied to solve problems. 10. Pilots AI models and prototype applications; assesses whether business challenges are addressed. 11. Conducts code reviews, optimizes algorithms and models, and carries out experiments to assure the functionality and performance of AI products or solutions. 12. Participates in special projects and performs other duties as assigned. Qualifications 1. Minimum eight years of related work experience, including at least three years of technology architect experience. 2. Bachelor's degree or equivalent blend of education and experience. Master's degree preferred. 3. Wide understanding of the financial services industry and analytics ecosystem. 4. Hands-on experience in one or more IT platforms, development tools, and programming languages: Experience and expertise in products using modern analytics cloud-based services and platforms such as AWS Sagemaker, Glue ETL, EMR, Data Wrangler, Glue Catalog, S3, Python, Tableau, Pyspark, SQL, Attunity and other tools used for data exploration such as AWS Athena and Presto. 5. Expert knowledge in the following technical lead practices and concepts: Full product life cycle, IT vendor product assessment, architecture design patterns, wide range of cloud and emerging technologies within technical specialty, performance and stress testing, security architecture and cost optimization techniques, quality assurance methodology and inspections, technical standards and deliverables, migration and integration, estimating design, development, installation, and production acceptance (including elevations), data modeling, data sharing, reusable components, and related advanced development practices. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard We are Vanguard. Together, we are changing the way the world invests. For us, investing doesn’t just end in value. It starts with values. When you invest with courage, when you invest with clarity, and when you invest with care, you can achieve so much more. We invest with purpose – that’s how we have evolved into a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you. We aim to make success accessible to everyone. This is our opportunity. Let’s grasp it. Inclusion Statement Vanguard’s ongoing commitment to diversity and inclusion is deeply rooted in our culture. Every decision we make to best serve our clients, staff, and communities is guided by one simple principle: “Do the right thing.” We believe that a crucial part of doing the right thing involves building diverse, inclusive, and highly efficient teams of individuals who are as unique as the clients they serve. We empower our staff to contribute their distinct strengths to achieving Vanguard’s fundamental purpose through our values. When all staff members feel valued and included, our ability to collaborate and innovate is escalated, and we are united in delivering on Vanguard's fundamental purpose. Our fundamental purpose: To safeguard all investors, to treat them fairly, and to provide them the best chance for investment success. How We Work Vanguard has implemented a hybrid work model for the majority of our staff, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a fundamental enabler to support long-term client outcomes and enrich the employee experience.