Responsibilities
- Evolve batch, analytics, and MLOps platforms to improve reliability, cost, and operational efficiency.
- Develop semantic and ontology-layer infrastructure, including authoring and governance tooling, lifecycle management, and catalog integration.
- Design APIs, libraries, services, and permission-aware semantic discovery infrastructure for internal users, client-facing products, and AI agents.
- Lead focused prototyping and R&D efforts with analytics product and engineering teams.
- Guide technology adoption through architectural decisions, reference architectures, and hands-on collaboration.
- Mentor engineers in first-principles thinking, system design, and product awareness.
Requirements
- 10+ years of software engineering experience focused on data platforms, analytics infrastructure, and AI/ML systems at enterprise scale.
- Bachelor's degree or higher in science, technology, engineering, or a related field.
- Experience building or operating MLOps platforms from data access and feature engineering through model deployment and monitoring.
- Experience with data modeling, schema design, data quality, AI agent-based architectures, federated catalog architectures, and governed enterprise data access.
- Experience with security, compliance, governance, data residency, and access control for AI/ML workloads.
- Experience with distributed computing, cloud-native infrastructure, infrastructure as code, and production workloads on public clouds such as AWS.
- Demonstrated experience managing and evolving shared platform architectures and driving architectural agreement across teams through technical influence.
- Background in credit risk, financial services, or other regulated data domains is valued.
Benefits
- Great compensation package and bonus plan.
- Medical, dental, vision, and matching 401K benefits.
- Flexible work environment with remote, hybrid, or in-office options.
- Flexible time off, including volunteer time off, vacation, sick time, and 12 paid holidays.
Tech Stack
Categories
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.