Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns

Job Summary

Required Qualifications

• •18+ years of hands-on software engineering experience
• •substantial time in senior technical leadership roles overseeing multiple teams and disciplines
• •Proven multi-team leadership — demonstrated experience leading team leads and engineers across full-stack disciplines
• •a track record of building high-performing, inventive engineering cultures at meaningful scale
• •Deep technical credibility and hands-on instinct — strong command of modern software architecture, cloud-native platforms, and production-grade application delivery
• •Full-stack engineering expertise — proven background with modern enterprise technology stacks, including React, Java, and/or Python in production environments, deployed across AWS and/or Azure
• •A bias for experimentation and innovation — a demonstrable history of pushing technical boundaries, challenging inherited assumptions, and driving teams toward approaches that are meaningfully better — not just incrementally improved
• •Modernization and greenfield experience — proven ability to evolve existing platforms while simultaneously designing and delivering new systems
• •comfort making bold architectural decisions in both constrained legacy and open greenfield environments
• •People leadership and talent development — demonstrated ability to attract, grow, and retain exceptional engineers and engineering leaders
• •a builder of teams as much as systems, with a genuine investment in the growth of the people around you
• •Cross-functional stakeholder management — proven ability to partner effectively across analytical, operational, and business-facing teams as well as peer technical organizations
• •skilled at managing competing priorities and driving alignment across a complex interdependency landscape
• •Executive communication — the ability to translate bold technical vision for non-technical audiences, build trust through delivery, and make complex ideas land clearly at every level of the organization
• •Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Machine Learning, or a related technical field
• •equivalent expertise demonstrated through impact

Desired Qualifications

• •An ML or AI engineering background — if you've spent meaningful time building machine learning systems, training models, designing intelligent pipelines, or architecting AI-native applications
• •Deep cloud-native expertise — hands-on mastery of AWS and/or Azure, Docker, Kubernetes/EKS, microservices architecture, and sophisticated CI/CD and deployment pipelines for large-scale application delivery
• •Generative AI and intelligent systems experience — hands-on experience with LLMs, RAG architectures, agentic workflows, or production ML systems
• •the ability to move between engineering credibility and strategic vision without losing altitude
• •AI-native delivery leadership — direct experience implementing AI-augmented development lifecycles, intelligent testing pipelines, or AI-assisted tooling that materially raises the quality and velocity of engineering teams
• •Transformation and platform modernization leadership — a history of successfully reimagining complex, production-critical platforms while maintaining delivery continuity and rallying teams around a compelling future state
• •A maverick streak with enterprise judgment — the rare combination of someone who genuinely challenges conventions and moves with urgency, but knows how to do it within a complex organization without losing stakeholders along the way
• •Financial services domain knowledge — familiarity with analytical workflows, credit ratings processes, or how technology creates leverage in financial decision-making
• •Technical thought leadership — contributing to open source, speaking at industry events, publishing engineering content, or establishing technical direction that influences well beyond your immediate team