Sr. Director, Global Markets Data & AI

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
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Job Purpose
The Senior Director, Global Markets Data & AI Engineering will lead the strategy, design, and delivery of data, analytics, and AI engineering capabilities for Global Markets. This role is accountable for building scalable, secure, and compliant platforms that support trading, sales, risk, client analytics, and control functions. The successful candidate will bring strong technical leadership, with particular strength in AI strategy, platform modernization, and production delivery in regulated financial environments.
Key Responsibilities
Define and execute the Global Markets Data & AI engineering strategy and roadmap
Modernize legacy solutions into cloud-native, reusable, and supportable services
Establish engineering patterns for data products, ingestion, transformation, feature engineering, model deployment, monitoring, and observability
Partner with front office, risk, compliance, operations, and technology stakeholders to deliver business-aligned solutions
Drive adoption of automation, AI augmented development and agentic workflows where appropriate
Ensure solutions meet requirements for security, governance, records management, auditability, and regulatory compliance
Lead and develop high-performing engineering teams across data, AI, and platform disciplines
Set engineering standards, delivery practices, and operational controls
Experience and Qualifications
Extensive experience in technology leadership within Global Markets
Proven track record of leading data & AI engineering within Global Markets domain.
Strong eTrading and derivatives risk management domain knowledge.
Strong experience working with senior stakeholders across business and technology functions
Experience delivering AI platforms, workflow automation, or intelligent analytics solutions preferred
Preferred Qualifications
Experience with AI/ML lifecycle management and MLOps
Experience with market data, trading, sales, risk, or client analytics platforms
Hands-on experience with kdb+/q, Spark, Kafka, dbt, Airflow, or similar technologies
Experience leading platform transformation or modernization programmes
Technical Skills
Python, Rust, SQL, API design and distributed computing.
Long-horizon agentic platforms, agent memory systems, agentic RAG
Kubernetes, Docker, CI/CD pipelines
Data engineering, orchestration, and observability
AI/ML platforms, MLOps, and model governance
Desirable: kdb+/q, Spark, Kafka, Temporal, Scala
Leadership Competencies
Strategic thinking and enterprise perspective
Strong execution and prioritization
Builds and develops high-performing teams
Comfortable operating in ambiguous and fast-paced environments
Strong focus on control, resilience, and compliance
Success Measures
Delivery of a scalable and governed Global Markets data and AI platform
Improved speed, quality, and reuse of engineering capabilities
Increased adoption of AI-enabled workflows
Reduced manual processes and technical debt
Strong operational control, compliance, and auditability
What you need to know
CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Job Location
150 Cheapside, 1st Flr,London
Employment Type
Regular
Weekly Hours
35
Skills
AI Platforms, Analytics, Application Development, Business, Cloud Native, Coaching, Data Engineering, Decision Making, Design, Developing Others, Docker (Software), Domain Knowledge, Enterprise Technologies, Leadership, Long Term Planning, Machine Learning Operations, ML Platforms, People Management, Project Management, Regulatory Compliance, Risk Management, Stakeholder Management, Team Development, Technical Architecture