Senior Manager, Software Engineering - Remote

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

The Financial Services Division (FSD) Engineering team is looking for an Engineering leader. This leader must excel in a non-traditional environment, working with the latest of the Cloud, Big Data, and AI/GenAI ecosystem. Data is the currency in today's world, and in this role, you will be at the forefront of a digital and AI-driven transformation. Reporting to the Director of Software Development, you will lead the development and operations of our real-time API platform, a critical component that powers mission-critical integrations across our ecosystem. You will be responsible for designing, building, and scaling available, low-latency APIs. These APIs support millions of transactions per day. Additionally, you will guide the integration of AI capabilities and latest technologies into our platform, including Model Context Protocol (MCP) and Claude Skills.

What you'll do

• You will lead engineering teams building platform capabilities and solutions for our clients using Experian bureau data and other 3rd party data.
• You will build data pipelines at scale for our batch clients and integrating with 3rd party providers for our real-time clients.
• You will also advocate for using AI and GenAI technologies across the team, including LLM-powered services, agentic workflows, MCP-based integrations, and Claude Skills for extending agent capabilities.

Platform Ownership

• Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency
• You will create platform evolution, including modernization, observability, AI-enablement, and CI/CD best practices

Technical Strategy

• Collaborate with partners to define the long-term vision and roadmap for the API platform, including how you will embed AI capabilities, MCP integrations, and Claude skills into the ecosystem.
• Ensure the team follows software engineering best practices including testing, code reviews, and documentation
• Guide the use of latest technologies that support real-time processing, event streaming, performance optimization, and AI/LLM integration

AI & Innovation

• Lead the delivery of AI-powered features. These include LLM integrations, retrieval-augmented generation (RAG), agentic workflows, MCP server/client implementations, and authoring of Claude Skills. The goal is to extend agent capabilities for domain-specific use cases.
• Establish best practices for AI-enabled systems including prompt engineering, evaluation frameworks, model observability, and responsible AI guardrails

Quality & Test Engineering

• Guide the design and adoption of test harness frameworks across unit, integration, contract, performance, and end-to-end testing layers
• Establish AI/LLM-specific evaluation harnesses for prompt regression, output quality scoring, hallucination detection, and evaluation of agentic and MCP-based workflows
• Champion shift-left testing, automated regression suites, and quality gates integrated into CI/CD pipelines

Collaboration

• Work with Product Management, DevOps, Data Science, QA, and other engineering teams to align technical plans with our goals
• Partner with security, compliance, and infrastructure teams to ensure platform meets standards

Delivery & Execution

• Manage the delivery lifecycle of major platform plans
• Track important performance metrics and ensure continuous improvement
• Manage the delivery of insightful dashboards and data visualizations

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering experience
• 3+ years in engineering leadership roles
• Experience managing real-time, high-throughput API platforms in production environments
• You have hands-on experience delivering AI/ML or GenAI projects in production
• Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem (e.g., Claude, OpenAI, LangChain, LlamaIndex, or similar agent frameworks)
• Experience authoring or working with Claude Skills (or analogous capability-extension frameworks) to package domain expertise for AI agents
• Background in test engineering and quality automati