Global Markets Data Product Leader in London

Global Markets Data Product Leader in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Canadian Imperial Bank of Commerce

At a Glance

  • Tasks: Lead data product strategy and drive analytics across global markets.
  • Company: Join CIBC, a leading bank with a focus on innovation.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Collaborate with senior stakeholders and make a real impact.
  • Why this job: Shape the future of data solutions in a fast-paced financial landscape.
  • Qualifications: Experience in data product management and strong leadership skills.

The predicted salary is between 80000 - 100000 Β£ per year.

Canadian Imperial Bank of Commerce (CIBC) in London seeks an Executive Director, Data Product Owner for Global Markets. You will define data product strategy across client, trade, market and risk domains, and drive analytics, AI-enabled tooling and governed data adoption. You will bridge trading, risk, quants, and tech to deliver scalable, production-grade data solutions. The role reports to QSG and Global Markets leadership, partnering with senior stakeholders while guiding delivery.

Global Markets Data Product Leader in London employer: Canadian Imperial Bank of Commerce

CIBC is an exceptional employer that fosters a culture of trust, teamwork, and accountability, empowering employees to make a meaningful impact in their roles. Located in the vibrant city of London, our hybrid work model offers flexibility while ensuring you have the resources and support needed for professional growth. With a commitment to inclusivity and a focus on employee well-being, CIBC provides a dynamic environment where your contributions are valued and recognised.

Canadian Imperial Bank of Commerce

Contact Details:

Canadian Imperial Bank of Commerce Recruitment Team

We think you need these skills to ace Global Markets Data Product Leader in London

Communication Skills
Problem-Solving Skills
Data Engineering
Python
SQL
Attention to Detail
Data Pipeline Development