OneMain Financial Jobs

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description About Visa Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the world's most sophisticated global transaction networks-processing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide. Within ValueAdded Services (VAS), we are building AInative data foundations that transform how data is discovered, understood, and activated-enabling product intelligence, growth analytics, and realtime decisioning across Visa's ecosystem. The Opportunity We are seeking a Lead Architect to define and drive the vision for VAS Data Foundations-a hybrid, AIready platform that consolidates company wide data into a unified, governed, and intelligent data layer. This role sits at the intersection of data architecture, AI/ML, and product intelligence. You will shape how data flows from raw signals to semantic meaning to AIdriven insights-powering dashboards, product analytics, AI agents, and executive decisionmaking at global scale. The Work Itself Define the endtoend architectural vision for AInative data foundations, spanning cloud data platforms, semantic layers, AI metadata, and consumption layers. Lead consolidation of disparate data sources (onprem, Hadoop, acquisitions, cloud) into a single, accessible, governed data layer. Design and evolve an AInative semantic layer that enables any agent, analyst, or product to discover, query, and reason over data consistently. Enable agentic and selfservice analytics, including automated insights, metric discovery, product analytics, and "talktodata" experiences. Partner with Product, Business, AI and Data Science teams to operationalize AI Data Scientist capabilities for automated visualization, deepdive insights, and product intelligence. Establish architectural standards for data quality, metadata, lineage, observability, governance, and responsible AI usage. Guide platform evolution across data ingestion, ETL/ELT pipelines, scalable data models, metric catalogs, and presentation layers. Translate business and product needs (growth, churn, retention, fraud, performance) into durable data and semantic architectures. Influence and mentor senior engineers and architects, elevating architectural rigor and longterm thinking across VAS. Essential Functions Act as the principal architect for VAS Data Foundations, owning longterm architectural coherence across data, AI, and analytics layers. Lead structured discovery with Product and Business stakeholders to align business questions to metrics to data model to semantic models to AIready data products. Ensure platforms are hybrid cloudnative, AIready, privacypreserving, and globally scalable. Drive architectural decisions that balance speed, governance, reusability, and cost efficiency. Identify systemic patterns across data quality, usage, performance, and analytics friction-and drive foundational improvements. This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced d