Manager Of Software Engineering (Sanction Service)

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
Partner with Product, Architecture, Compliance and Operations teams to deliver business-critical capabilities
Lead incident response, root cause analysis and continuous improvement initiatives
Drive modernization efforts focused on scalability, resilience, cloud readiness and operational efficiency
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
Identify opportunities to automate engineering workflows and reduce operational overhead
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
People Leadership (30%)
Lead and develop a high-performing team of software engineers
Conduct regular coaching, career development discussions and performance management activities
Create an inclusive, accountable and psychologically safe team culture
Partner with recruiting to attract, retain and develop top engineering talent
Drive planning, prioritization and execution of team roadmaps and delivery commitments
Establish clear goals, expectations and ownership across the team
What Success Looks Like:
A high-performing engineering team with strong engagement, accountability and technical excellence
Predictable delivery of secure, scalable and reliable Sanctions Service capabilities
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
Strong alignment across engineering, product, compliance and operational stakeholders
Proven experience leading software engineering teams and delivering large-scale enterprise software solutionsExperience with Agile software development and modern engineering practicesExperience managing product roadmaps, business priorities, engineering deliverables and technical risksStrong technical background with experience designing distributed, highly available systemsPassion for mentoring engineers and building high-performing teamsDemonstrated ability to balance hands‑on technical leadership with people management responsibilitiesStrong 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 solutionsExperience operating services in regulated, security‑sensitive environmentsKnowledge of cloud platforms, DevOps practices and modern observability toolingBachelor’s in computer science, Engineering or a related discipline
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