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About the Role

Serve as Data Product Owner for Global Markets within the Quant Solutions Group (QSG). Define and drive the strategic direction of data products across Capital Markets domains, champion adoption of governed data and analytics, and ensure solutions align with business priorities, regulatory expectations, and technology strategy. Act as the bridge between business and technology teams, translating requirements into scalable data, analytics, and AI-enabled solutions.

Responsibilities

Define target-state data products and semantic layers for key Global Markets domains.
Identify use cases where governed data, analytics, and automation can improve business outcomes.
Champion data-driven decision-making and self-service analytics.
Partner with stakeholders to shape differentiated internal and client-facing data insights.
Engage senior business stakeholders to understand data needs and business value.
Own and communicate the data product roadmap, translating strategic priorities into clear outcomes and OKRs.
Facilitate prioritization of data initiatives based on business impact and other factors.
Lead cross-functional delivery discussions and ensure alignment between business intent, data governance, and technology implementation.
Translate core business requirements into actionable product requirements, data models, and delivery backlogs.
Collaborate with technology teams to select and shape appropriate technologies for scalable analytics and AI/ML use cases.
Ensure delivery choices balance speed, maintainability, governance, and robustness.
Work closely with teams on domain data modelling, canonical views, and data catalogues.
Provide product-owner challenge to ensure data models are fit for business purpose and can scale.
Drive strong data governance practices, including data ownership, stewardship, and quality controls.
Ensure compliance with CIBC policies, standards, and regulatory expectations.
Identify, assess, and recommend strategic internal and external data sources.
Oversee data-source selection and prioritization.
Work with governance and technology partners to ensure strategic data sources are discoverable and well-documented.
Prioritize data access, tooling, and platform capabilities for advanced analytics and AI strategies.
Identify opportunities to deploy production-grade analytics and AI-enabled solutions.
Work with teams to turn analytical prototypes into robust production workflows.
Promote responsible AI and model-aware delivery, ensuring appropriate governance and control considerations.

Requirements

Degree in a quantitative discipline, computer science, data science, engineering, mathematics, physics or related field; advanced degree preferred.
Significant experience in data product ownership, data strategy, analytics, quant strategy, risk analytics or related roles within financial services, ideally Global Markets or Capital Markets.
Strong understanding of capital-markets products and workflows across one or more of rates, equities, securities finance, FX, commodities, derivatives, risk or portfolio analytics.
Demonstrated ability to lead cross-functional teams, manage senior stakeholders, define OKRs, shape roadmaps and deliver enterprise data or analytics products.
Hands-on understanding of data technologies and modern analytics platforms, preferably Databricks/Spark and lakehouse patterns; Snowflake experience is relevant and transferable but Databricks experience is preferred.
Experience with Python, SQL and production analytics workflows; familiarity with big-data engineering, Kafka, Power BI, dashboards, APIs or workflow automation would be advantageous.
Experience in data modelling, semantic layers, canonical data views, data catalogues, data quality, lineage, metadata, critical data elements and data governance frameworks.
Understanding of AI/ML, NLP, intelligent automation, agentic AI concepts or production-grade analytics, with the ability to distinguish credible business use cases from experimentation.
Proven ability to translate abstract business problems into clear product requirements, technical options and delivery plans.
Excellent communication, influencing and client/stakeholder engagement skills, with the ability to operate from executive-level strategy through to delivery detail.
Genuine passion for data-driven innovation, practical problem-solving and building elegant, governed, scalable solutions for front-office and risk users.
Must be legally eligible to work at the specified location(s) and have a valid work or study permit where applicable.

Skills

Analytical Thinking
Analytics
Business
Customer Engagement
Data Analysis
Data Insights
Data Strategies
Financial Modeling
Global Market
Investments
Leadership
Market Trading
Process Improvements
Python (Programming Language)
Researching
Solution Strategies
Databricks
Spark
Snowflake
SQL
Big-data engineering
Kafka
Power BI
APIs
Workflow automation
Data modelling
Semantic layers
Canonical data views
Data catalogues
Data quality
Lineage
Metadata
Critical data elements
Data governance frameworks
AI/ML
NLP
Intelligent automation
Agentic AI concepts
Production-grade analytics

Location

London

Work Type

Regular
35 Weekly Hours

Experience Level

Significant experience in data product ownership, data strategy, analytics, quant strategy, risk analytics or related roles within financial services, ideally Global Markets or Capital Markets.

Education Level

Degree in a quantitative discipline, computer science, data science, engineering, mathematics, physics or related field; advanced degree preferred.

About the Company

CIBC is building a relationship-oriented bank for the modern world.
At CIBC, team members are empowered at work, have what they need to make a meaningful impact, and are truly valued for who they are and what they contribute.
The Quant Solutions Group (QSG) is a global, cross-asset team that builds the software, analytics, data products and AI-enabled tooling that underpin the Global Markets business.
The analytical software and data solutions developed by QSG are widely used across CIBC, helping Distribution to price trades and serve clients, Trading to manage risk, Structuring to identify new client opportunities, and Risk and Finance partners to improve transparency, governance and control.
The team is split between London, Toronto and New York, with this role based in London.

Equal Opportunity

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