Engineering Director (ID&F) - Java, .NET, AWS
Experian
In this role you lead the Fraud & Identity Engineering organization within Experian Software Solutions, guiding strategy, architecture, and delivery at scale for 500+ B2B clients. You will shape engineering practices, modernisation efforts, and cross-functional collaboration with product, operations, and business stakeholders. Your focus is on AI-native delivery, governance, and global execution across geographies. This opportunity lets you influence both technology direction and people development in a dynamic, matrixed environment.
Pay / Benefits- Hybrid working
- Competitive compensation package with discretionary bonus
- Pension
- Bupa healthcare
- Sharesave Scheme
- 25 days annual leave + 8 bank holidays + 3 volunteering days (option to buy extra days)
- Build and lead diverse, high-performing teams across geographies with clear priorities and accountability
- Translate strategic goals into executable delivery plans and operating rhythms
- Embed AI, automation, and data-driven decision-making into engineering practices
- Lead technology modernization and adoption of new platforms and tools
- Provide solution-oriented guidance for complex business and tech challenges
- Partner with product, engineering, operations, and business stakeholders to align priorities and remove blockers
- Operate effectively in a global matrix, coordinating across time zones and cultures
- Ensure governance, security, compliance, and risk standards in decisions and execution
- Own workforce planning, talent strategy, and succession planning
- Set budgets, manage vendor relationships, and availability of delivery capacity
- Represent engineering in senior forums, highlighting risks, dependencies, and progress
- Coach and develop people managers to strengthen leadership capability
- Strong people leadership experience coaching global engineering teams
- Proficient in Java full stack, .NET, AWS, EKS, Devops, Claude, Cursor based engineering and deployment practices
- Proven ability to build relationships with global teams and influence decisions using data-driven approaches
- Culture of innovation and continuous improvement with willingness to challenge status quo
- Experience using AI tools and driving adoption across teams
- Strategic mindset with close-to-execution delivery focus
- Business-first, technology-informed problem solving
- Adaptability in ambiguous environments
- leadership
- collaboration
- communication
- Java full stack
- .NET
- AWS
Reference: WJ-747_30153750