Engineering Delivery Manager
Posted 1 day 5 hours ago by Archer Recruitment
- Global scale & business impact
- Cutting-edge technology: Big Data, Analytics & AI
- Exceptional team & contractor-friendly culture
Join a leading global professional services organisation working with approximately 300 of the Fortune 500 companies. Operating at the intersection of insurance, Big Data and advanced analytics, the organisation develops cutting-edge technology to help global businesses understand and manage complex risks.
An exceptional opportunity to manage engineering teams developing next-generation insurance analytics applications. You will own end-to-end delivery, drive strategic technology initiatives and influence how complex, data-driven applications are designed and delivered.
Join a high-calibre engineering organisation with top-tier technical talent and experienced leadership. A highly collaborative, innovation-driven and exceptionally contractor-friendly environment.
Why You'll Love This Job
- Work with technology supporting approximately 300 Fortune 500 companies.
- Lead high-impact, enterprise-scale analytics applications.
- Long term contract (12 months)
- Collaborate with exceptional engineering talent.
- Enjoy genuine ownership, autonomy and a highly contractor-friendly culture.
What You'll Own
- Lead, develop and motivate high-performing software engineering teams.
- Own end-to-end delivery of enterprise-scale applications, driving priorities, execution and outcomes.
- Drive the development of sophisticated applications powered by Big Data, advanced analytics and AI.
- Influence senior stakeholders, shape delivery roadmaps and align engineering execution with business strategy.
What You'll Bring
- Proven experience leading engineering or technology teams.
- Experience with data analytics, analytical applications or complex modelling.
- Background in Investment Banking, Insurance or Financial Services.
- Experience leading or delivering AI, Machine Learning or advanced analytics projects.
A rare opportunity to combine engineering leadership, Big Data and AI within a globally recognised organisation.