Director of Engineering

You will spearhead the strategic direction for MCO's global engineering teams, with a focus on integrating AI/ML capabilities and modern software practices. You will establish and monitor KPIs, champion agile and MLOps methodologies, and ensure continuous improvement. You will serve as a key decision-maker in technical architecture, particularly in AI-driven solutions, and act as a trusted advisor to senior leadership on technology strategy and risk management.

As Director of Engineering, you will provide strategic direction and technical oversight for global delivery teams, with a strong emphasis on AI and advanced engineering practices. You will lead and mentor senior managers and technical leaders, drive innovation in AI/ML, and ensure alignment with MCO's objectives. You will champion responsible, ethical AI practices, foster a culture of technical excellence, and collaborate across departments to deliver impactful solutions.

• Provide strategic direction and oversight for multiple engineering teams, ensuring alignment with MCO's objectives and long-term vision, with a focus on AI/ML innovation.
• Lead and mentor engineering managers and principal engineers, empowering them to drive results and foster a culture of technical excellence and knowledge sharing.
• Define and implement agile and MLOps-led processes to scale engineering operations, improve efficiency, and support AI/ML workflows.
• Drive innovation in AI and machine learning, ensuring solutions are ethical, explainable, and compliant with regulatory standards.
• Collaborate with product management, compliance, customer success, and technology teams to deliver impactful, AI-enabled solutions aligned with business goals.
• Establish and maintain KPIs for engineering and AI/ML performance, regularly assessing and reporting progress.
• Serve as a key decision-maker in technical architecture and design, especially for scalable, robust, and AI-driven solutions.
• Champion diversity, equity, and inclusion, and promote a culture of belonging and respect.
• Drive recruitment and talent acquisition for both engineering and AI/ML roles, partnering with HR to attract top talent.
• Represent engineering in cross-functional meetings and strategic planning, advocating for the needs and priorities of both engineering and AI teams.
• Stay abreast of industry and AI/ML trends, evaluating their impact and recommending adoption where valuable.
• Act as a trusted advisor to senior leadership on technology, AI strategy, resource allocation, and risk management.
• Foster collaboration and cross-team communication, breaking down silos and encouraging knowledge sharing, especially in AI/ML domains.
• Lead by example in promoting transparency, accountability, and continuous improvement across engineering and AI/ML operations.

  Experiences and Skills

• 15+ years of experience (including up to 7 years in management) in product development, with significant exposure to AI/ML and cloud-based engineering.
• 3+ years of second or third line management experience.
• Strong Java full stack and Python engineering experience in a product development environment, with hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Decisive contributions in technical architecture, especially for AI/ML and data-driven solutions.
• Expertise in reviewing architecture & design, modularisation, microservice architectures, and scalable AI/ML systems.
• Strong problem-solving and analytical skills, with the ability to resolve complex issues in both engineering and AI/ML contexts.
• Adaptability, prioritisation, and a growth mindset.
• Excellent communication and servant leadership skills.
• Deep knowledge of agile, scrum, and MLOps methodologies.
• Experience in a product-driven SaaS or financial services company.
• Architect, executive, or start-up experience.
• Demonstrated leadership in AI/ML innovation, responsible AI, and technical excellence at scale.