Role Overview

We are seeking a Director of Software Engineering to lead a high-impact technology organization responsible for a portfolio of risk, governance, data, and analytics platforms. This role requires a strategic, hands-on technology leader with strong people leadership, proven delivery execution, and a passion for leveraging AI and Machine Learning to drive innovation, scale, and operational efficiency.

In this role, you will lead a results-driven engineering and data organization, serve as a key technology partner to senior business leaders, and own the delivery of complex, enterprise-critical initiatives. The scope includes application development, data platforms, advanced analytics, and modern cloud-based architectures. You will also play a critical role in shaping multi-year business and technology roadmaps and ensuring consistent execution against strategic priorities.

Key Responsibilities

• Define and execute the technology strategy across risk, governance, regulatory, policy, and enterprise oversight platforms.

• Provide overall leadership and accountability for a portfolio of applications, data platforms, and analytics capabilities, ensuring reliability, scalability, and security.

• Oversee the design, development, and operational management of modern data pipelines and data products, ensuring high standards for data quality, integrity, and security.

• Partner with data scientists, analysts, and platform teams to identify and implement data-driven and AI-enabled solutions that address complex business and risk challenges.

• Act as a strategic technology partner to senior executives, contributing to ideation, innovation, prioritization, and long-term strategic alignment.

• Build and maintain multi-year business and technology roadmaps, and ensure the successful delivery of aligned initiatives.

• Lead resource strategy, staffing, and capacity planning across delivery and support teams (FTEs and contractors) to ensure effective execution and platform stability.

• Partner closely with enterprise architecture, infrastructure, and shared technology services to ensure solutions align with enterprise standards and long-term strategy.

Key Responsibilities Continued ::

• Serve as an experienced product or experience owner, helping shape priorities and drive value-focused delivery.

• Manage third-party vendor engagements, including scope definition, contract terms, delivery performance, and financial management.

• Research and evaluate emerging AI and ML technologies, identifying opportunities to improve analytical capabilities, insights, and operational outcomes.

• Oversee the development and deployment of AI/ML models supporting monitoring, risk assessment, analytics, and reporting use cases.

• Ensure that all platforms and solutions meet enterprise standards for governance, controls, auditability, and regulatory expectations.

• Work effectively within a matrix organisation — collaborating across core engineering teams, business leadership, and peers across geographies, balancing both leadership and service capabilities.