Experian North America is scaling AI-driven Operational Excellence to transform how we work and serve customers, requiring a leader fluent in GenAI/agentic systems and legacy automation to promote next-gen AI transformation and responsible evolution from traditional RPA toward agentic automation.
Requirements
- Proficiency with GenAI/agentic systems (e.g., multi-agent orchestration (CrewAI, LangGraph), tool calling, RAG) and enterprise automation (RPA/low-code).
- Cloud-native (Azure/AWS), containerized development, APIs, CI/CD, IaC, automated testing, observability, and production support (SRE/SLA).
- Lean Six Sigma (Green/Black), Agile/Scrum/SAFe.
- Cloud (AWS/Azure) and RPA certifications (i.e. Automation Anywhere, UiPath, Power Platform).
- Experience rolling out enterprise copilots/assistants and change management for tooling adoption.
- Experience leading shared services/CoE models globally.
Responsibilities
- Architect and evolve a scalable agentic automation platform (multi-agent orchestration, tool use, evaluation/guardrails) and deliver use cases from idea to production.
- Champion modern SDLC practices - CI/CD, IaC, automated testing, observability, SRE/on-call, and reliability-by-design practices for AI and automation solutions.
- Partner with Global CoEs, Legal, Compliance, and Security to move quickly and safely while managing risks.
- Track ROI, capacity creation, and adoption.
- Coach a versatile global team (Business Analysts, Engineering, Support).
- Foster a learning culture, mentor emerging leaders, and up-skill the team in GenAI/agentic and automation disciplines.
- Promote, educate, identify, prioritize and deliver automations across business units with clear value and fast time-to-benefit.
Other
- 10+ years in software/automation engineering, including 5+ years leading delivery teams.
- Experience in executive engagement and cross-functional influence, with the ability to translate technical work into business impact.
- Proven Track Record: Shipping production solutions with measurable business impact.
- Collaborative Mindset: Eagerness to contribute to a mission-driven team. Enthusiasm for innovation and using technology to solve challenges will help you succeed in this role.
- Computer Science, Engineering or related bachelor's degree.
