You willspearhead the strategic direction for MCO's global engineering teams, with afocus on integrating AI/ML capabilities and modern software practices. You willestablish and monitor KPIs, champion agile and MLOps methodologies, and ensurecontinuous improvement. You will serve as a key decision-maker in technicalarchitecture, particularly in AI-driven solutions, and act as a trusted advisorto senior leadership on technology strategy and risk management.As Directorof Engineering, you will provide strategic direction and technical oversightfor global delivery teams, with a strong emphasis on AI and advancedengineering practices. You will lead and mentor senior managers and technicalleaders, drive innovation in AI/ML, and ensure alignment with MCO's objectives.You will champion responsible, ethical AI practices, foster a culture oftechnical excellence, and collaborate across departments to deliver impactfulsolutions.ResponsibilitiesProvide 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 Skills15+ 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.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.About MCO (MyComplianceOffice) MCO is a global leader dedicated to empoweringFinancial Services firms to manage compliance programs with ease andefficiency. Our mission is to foster a fair, transparent, and trusted financialenvironment worldwide by helping organizations meet their regulatoryobligations to society.At the heart of MCO's offering is our unique,unified platform, which seamlessly integrates compliance monitoring and datainto a single, comprehensive view. This holistic approach enables firms tomaintain compliance across all internal systems, structures, andprocesses—ensuring peace of mind in an ever-evolving regulatory landscape.Headquartered in Dublin, MCO has aninternational footprint, with offices in London, Singapore, Hyderabad, NewYork, Chicago, Fort Worth, Switzerland, South Africa, Slovenia, and the UAE.Since our founding in 2008, we have evolved from a specialist provider of "bestof breed" employee compliance solutions to a pioneer in integrated compliancetechnology.In recent years, MCO has rapidly expanded itsproduct suite by tripling investment in internal development and acquiring fourinnovative companies: Pythagoras, Fairwords, Schwab Compliance Technologies andGovernor Software. These strategic moves have strengthened our capabilities inregulatory governance, third-party management, and communications compliance.Today, our team of over 400 professionalssupports more than 1.5 million users in 128 countries. Our diverse customerbase includes small businesses, large enterprises, four of the world's top tenasset managers, twenty of the top seventy-five global banks, and three of thetop five investment banks for global M&A transactions.Driven by ambition and innovation, MCO isexcited to lead the industry forward with our comprehensive suite of integratedcompliance solutions—helping clients scale new heights with confidence.