We are seeking a Manager, Software Engineering to lead the development and evolution of Mastercard’s Sanctions Screening solutions

These solutions help financial institutions assess sanctions risk for payment transactions in real time, supporting regulatory compliance, risk management and secure global payment processing

This role is a hybrid of roughly 70% technical leadership and 30% people management The successful candidate will remain deeply involved in system solutioning, technical designs, engineering execution and continuous improvement on AI assist software development workflow while also building, mentoring and leading a high-performing engineering team(of 7 people now)

Technical Leadership (70%)

Own the technical direction, architecture and delivery strategy for the Sanctions Service platform, built in Java and C++ primarily

Lead the design and implementation of scalable, reliable and secure software solutions meeting the common of enterprise standards

Drive engineering excellence through design reviews, code quality, operational readiness and best practices

Lead incident response, root cause analysis and continuous improvement initiatives

Serve as the senior technical escalation point for complex engineering and production challenges

AI & Agentic Engineering

Define and execute a strategy for adopting AI-assisted and agentic engineering capabilities across the software development lifecycle

Leverage AI tools to improve software delivery, testing, operational support, documentation and developer productivity, focusing on achieve faster iteration on requirements gathering, specification elaboration and concepts validation

Establish guardrails and governance for responsible AI adoption,



including security, transparency and human oversight

Foster a culture of experimentation and innovation while maintaining strong compliance and risk controls

Lead and develop a high-performing team of software engineers

Conduct regular coaching, career development discussions and performance management activities A high-performing engineering team with strong engagement, accountability and technical excellence

Successful adoption of AI-enabled engineering practices proven by industries that improve productivity and delivery quality

Measurable improvements in platform resilience, operational efficiency and customer outcomes

Demonstrated ability to balance hands-on technical leadership with people management responsibilitiesProven experience leading software engineering teams and delivering large-scale enterprise software solutionsExperience managing product roadmaps, business priorities, engineering deliverables and technical risksExperience with Agile software development and modern engineering practicesStrong technical background with experience designing distributed, highly available systemsPassion for mentoring engineers and building high-performing teamsStrong communication, collaboration and stakeholder-management skillsExperience in payments, financial services, compliance, fraud, sanctions screening or risk management will be a great bonusExperience leveraging AI-assisted development tools, agentic workflows or intelligent automation solutionsKnowledge of cloud platforms, DevOps practices and up-to-date observability toolingExperience operating services in regulated, security-sensitive environmentsBachelor’s in computer science, Engineering or a related discipline #

📌 Software Engineering Manager (Data) (Vancouver)
🏢 Mastercard
📍 Vancouver