Jobs and Careers

Director Data Product Management

United Statesfull_timeVerifiedPosted 9 Jun 2026

About the role

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

Role Description

The Chief Data & Analytics Office (CDAO) within the SMBC Americas Division is spearheading a comprehensive transformation in data and analytics, aiming to develop industry-leading data capabilities across the organization. This strategic effort includes initiatives focused on data governance, artificial intelligence, data management, and regulatory compliance.

At SMBC, data is recognized as a critical asset that supports decision-making, risk management, and enhances customer experience. As part of the ongoing data transformation, SMBC is constructing a modern Lakehouse architecture to serve as the foundation for scalable, governed data products utilized throughout the organization. These data products are essential for driving the data transformation process, addressing both regulatory and business priorities.

To lead this transformation, SMBC is establishing a new Product Management function and is seeking a Data Product Manager to help define and implement the Lakehouse strategy. This is a hands-on role that collaborates closely with technology teams responsible for building the Lakehouse, focusing on adoption, stakeholder relationship management, and aligning priorities across the Americas Division.

Role Objectives

Lakehouse Product Roadmap
• Define, prioritize, and manage the Lakehouse product roadmap in collaboration with stakeholders from Finance, Risk, Compliance, business areas, and Operations.
• Oversee execution alongside engineering and architecture teams.
• Ensure the roadmap aligns with business objectives, technical feasibility, and stakeholder requirements.
• Manage the production and consumption of data products, machine learning datasets—including features, labels, and embeddings—throughout the data and ML lifecycle.
• Oversee data products lifecycle, ML feature stores management, focusing on organization, discoverability, and storage to guarantee efficiency, reliability, and quality.
Data Strategy & Sourcing
• Define data sourcing, labeling, and control strategies tailored to the analytical, modeling, and reporting needs of business teams.
• Ensure compliance with data governance, regulatory, data controls and data quality standards.
• Collaborate with Functional Data Offices and technology teams so that data pipelines and datasets are well-documented, governed, and equipped with observability and self-healing capabilities.
• Maintain working knowledge of the complete technology stack supporting ML training, including cloud computing, ML frameworks, and orchestration systems.
Adoption & Legacy Decommissioning
• Drive adoption of Lakehouse data products within the Americas Division by engaging consumers and integrating roadmaps, prioritization, testing, and adoption across multiple data providers and consumers.
• Facilitate the decommissioning of legacy data platforms through migration planning and stakeholder engagement.
• Develop onboarding experiences, training programs, and documentation to support adoption efforts.