Director of Architecture

Director of Architecture, Join a pioneering leader in the financial crime and fraud prevention sector as a Director of Architecture. In this role, you’ll define and implement advanced, machine learning-driven solutions, guiding an agile team to ensure performance, scalability, and architectural integrity. This is a unique opportunity to build a next-generation machine learning platform from the ground up, ensuring robust fraud detection and prevention for financial institutions worldwide.

Role Overview

As the Director of Architecture, you’ll lead transformative machine learning initiatives, leveraging your expertise to design and oversee a high-performance, cloud-native fraud detection platform. This role is ideal for a strategic leader with a hands-on approach, combining deep knowledge of enterprise and solution architecture with a track record in machine learning platform development. You’ll also champion a culture of continuous innovation and growth within a close-knit team that embraces wearing multiple hats.

Key Responsibilities

• Build and Lead: Architect and implement a machine learning platform that integrates seamlessly with existing solutions, enhancing real-time fraud detection capabilities.
• Define and Drive Transformation: Establish a clear machine learning architecture roadmap, working closely with engineering teams to bring strategic solutions from concept through full implementation.
• Hands-On Leadership: Lead a small team, staying hands-on while overseeing all phases of architecture from enterprise to solution level, ensuring agility and innovation remain at the forefront.
• End-to-End Product Lifecycle: Drive product development through the entire lifecycle, implementing machine learning solutions that improve fraud detection accuracy and system scalability.
• Collaborate for Strategic Alignment: Partner with Product, Engineering, and Operations to ensure machine learning projects are aligned with business objectives and optimized for high-volume, low-latency environments.
• Enterprise and Real-Time Architecture Expertise: Create high-availability systems for fraud prevention, leveraging your knowledge of real-time machine learning architecture for critical, low-latency solutions.

Must-Have Technical Experience

• Machine Learning Platform Development: Proven success in building machine learning architectures from the ground up within enterprise environments.
• Enterprise to Solution Architecture Expertise: Ability to conceptualize and guide the transition from high-level enterprise architecture to actionable solution architecture.
• Fraud Prevention Background: At least 5 years of experience within the fraud prevention domain, implementing or overseeing machine learning initiatives.
• Cloud Architectures and Data Science Knowledge: Proficiency in cloud-based infrastructures, SaaS architectures, and familiarity with machine learning concepts.
• SAFe Experience:Proven experience working within a SAFe (Scaled Agile Framework) environment, with a strong understanding of agile methodologies at scale.

Ideal Profile

• 10+ years of architecture experience, ideally combining bothenterpriseandsolution architecturebackgrounds.
• 5+ years leading small, agile teams (5 people or fewer), with hands-on involvement in development and project oversight.
• Strong Communication and Collaboration: Skilled at aligning technical strategies with business objectives and comfortable presenting to senior leadership and external stakeholders.
• SAFe Experience:Proven experience working within a SAFe (Scaled Agile Framework) environment, with a strong understanding of agile methodologies at scale.