Leads the strategy, architecture, and delivery of Global Markets data and AI engineering capabilities. Owns platform modernization, cloud-native services, data products, MLOps, AI workflows, governance, security, compliance, and operational controls. Partners with trading, sales, risk, compliance, and technology stakeholders while developing multidisciplinary engineering teams and setting enterprise delivery standards.
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Job PurposeThe 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 [email protected]
- 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,LondonEmployment Type
RegularWeekly Hours
35Skills
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 ArchitectureSimilar Jobs
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