Enterprise Architect
Experian is hiring an Enterprise Architect. Level rates it ; you can apply on Experian.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- The posting mentions ChatGPT, Claude and AI safety among its tools and skills.
- Level classes it as a senior role.
- Experian has 395 other open roles on Level.
- Posted in the last few days.
AI in this role
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
Enterprise Architect
Job Description
Role Overview
We are seeking an Enterprise Architect to provide architecture guidance and governance across complex, business-critical technology initiatives in Experian's Asia Pacific markets, including Australia, New Zealand, Singapore, and Malaysia.
This role will shape enterprise and domain architecture strategy, help define target-state architectures, and guide major technology transformation and investment decisions. The Enterprise Architect will operate across business, application, data, technology, and security domains to ensure technology strategies and solutions align with business priorities, enterprise standards, regulatory requirements, and long-term technology direction.
The organisation has a cloud-first strategy with a strong emphasis on AWS, which requires major migration projects. The Enterprise Architect will serve as a trusted advisor to technology and business leaders while providing architectural leadership, governance and direction to solution architects, engineering teams, and technical leads.
A key part of the role is helping Experian use AI to create new revenue opportunities while managing risk in highly regulated markets, enabling innovation safely rather than avoiding it.
What you'll do
- Define and evolve the enterprise and target-state architecture and multi-year roadmaps across business, application, data, integration, cloud, and security domains, aligned with business strategy and transformation priorities.
- Provide architectural leadership across large-scale, cross-functional programmes spanning multiple Asia Pacific countries and organisational boundaries, ensuring individual solutions build towards coherent enterprise capabilities and strategic outcomes.
- Lead architecture assessments and critical design decisions on strategic initiatives, resolving complex trade-offs and working collaboratively to build alignment across business, engineering, security, risk, and infrastructure stakeholders.
- Shape major technology investment and modernisation decisions, including AWS cloud migration, platform modernisation, application rationalisation, and legacy transformation. Use these to simplify the landscape, reduce technical debt and duplication, and increase adoption of strategic enterprise platforms.
- Enable responsible AI adoption by defining the architecture patterns, guardrails, and governance that let teams deliver AI and GenAI solutions quickly and safely. Partner with Risk, Legal, Compliance, and Security to create a pragmatic, risk-based path to production that balances commercial opportunity with privacy, security, and model risk.
- Own enterprise architecture principles, standards, patterns, reference architectures, and guardrails, harmonising them across the region while accommodating local regulatory and data residency requirements. Lead architecture assurance for high-impact initiatives to ensure security, regulatory compliance, resiliency, scalability, and operational effectiveness.
- Act as a trusted advisor to senior technology and business leaders, communicating complex decisions, risks, trade-offs, and strategic options in clear business terms.
- Assess emerging technologies and industry practices, including AI, for their potential application to enterprise priorities.
How you'll make an impact
At this senior (Principal) level, success in this role requires impact beyond individual solutions or programmes. You will:
- Be a trusted senior technical voice and advisor, building relationships with business and technology stakeholders at all levels across countries, cultures, and time zones.
- Champion innovation within a risk-aware culture, showing how new technologies such as AI can be adopted safely and building confidence with risk and security stakeholders rather than working around them.
- Create alignment among senior stakeholders with competing priorities and constraints, influencing them so the right decisions are made at the right time.
- Take responsibility for complex, ambiguous, and high-impact problems, risks, and issues, and work with others to resolve them.
- Raise architecture and engineering maturity through standards, mentorship, and technical leadership.
- Connect long-term enterprise architecture strategy with pragmatic near-term execution.
What you'll bring
- Extensive IT experience, typically 12+ years, including at least 5 years of recent experience as a Principal, Lead, or Enterprise Architect across complex organisations and large-scale technology environments.
- Experience working across multiple countries and cultures, ideally in Asia Pacific.
- Extensive experience in AWS cloud architecture and cloud-native design, including shaping cloud strategy for business-critical platforms. Experience of hybrid cloud, API and integration architecture, DevSecOps, infrastructure-as-code, cloud security, and observability.
- Broad enterprise architecture knowledge across application, integration, data, infrastructure, security, and platform domains, with a track record of defining target-state architectures and roadmaps that translate into actionable decisions.
- Significant experience leading architecture for large-scale modernisation programmes, including cloud migration, application modernisation, platform transformation, and technical debt reduction.
- Deep understanding of architecture governance, cybersecurity, resiliency, risk, and regulatory compliance, gained in financial services, credit, data, or similarly regulated environments across multiple jurisdictions, including participation in architecture councils or design authorities.
- Practical understanding of AI governance, with experience architecting or governing AI/ML or GenAI solutions in regulated environments, including explainability, bias, data privacy, and model risk.
- Proven ability to influence senior stakeholders without direct authority, communicate architecture in terms of business outcomes, costs, and risks, and mentor architects, senior engineers, and technical leaders.
- Regular, hands-on use of GenAI tools, with strong prompt-writing skills, using tools such as ChatGPT or Claude for research, analysis, option papers, and documentation, and the judgement to validate and challenge their outputs.
If you meet most of these requirements but not every one, we'd still encourage you to apply. Diverse experience and perspectives are exactly what this role needs.
Nice to have
- AWS Certified Solutions Architect – Professional or equivalent advanced cloud certification.
- TOGAF or equivalent enterprise architecture certification.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- Knowledge of financial services, credit reporting, and data protection regulation across Asia Pacific markets, including technology risk management, privacy, and cross-border data transfer and data residency requirements.
- AI governance or AI certification, such as IAPP Artificial Intelligence Governance Professional (AIGP), ISO/IEC 42001 Lead Implementer, or AWS Certified AI Practitioner / Machine Learning Engineer – Associate.
- AWS Certified Security – Specialty, CISSP, CCSP, or equivalent security certification.
- Multi-cloud certification, such as Microsoft Azure Solutions Architect Expert or Google Cloud Professional Cloud Architect.
- Cloud migration and cost management experience, such as AWS migration frameworks (7 Rs, Migration Acceleration Program) or FinOps Certified Practitioner.
- ArchiMate and enterprise architecture tooling, such as LeanIX or Ardoq.
Additional information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Qualifications
- Enterprise Architecture Experience
- Solution Architecture Experience
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Enterprise Architect at Experian rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used ChatGPT in your day-to-day work.
- What are the limits of Claude that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Safety, ChatGPT, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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