Head of Data Technology

Sumitomo Mitsui Banking Corporation•New York, NY

4d•Hybrid

About The Position

We are seeking an experienced and visionary Head of Data Technology to lead the strategy, development, and delivery of enterprise data platforms supporting our global markets business. This role is critical in enabling high-quality, scalable, and compliant data solutions across trading, risk, and operations.

Requirements

15+ years of experience in data technology leadership roles, with deep expertise in enterprise data platforms.
Proven track record of delivering complex data solutions in a global financial services environment.
Strong understanding of Reference Data, Market Data, Security Data, and data governance principles.
Experience with cloud platforms such as AWS, Azure, and large-scale data technologies.
Familiarity with SAFe or other scaled agile methodologies.
Excellent leadership, communication, and stakeholder management skills.
Ability to build strong relationships across business, technology, and enterprise functions to drive transformation and modernization.
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.

Responsibilities

Define and execute a comprehensive data technology strategy aligned with the bank’s business and regulatory objectives.
Oversee the architecture, development, and maintenance of platforms supporting Reference Data, Market Data, Security Data, and related domains.
Ensure systems are scalable, resilient, and compliant with data governance and regulatory standards.
Champion modernization initiatives across data platforms and practices.
Build, mentor, and manage a high-performing team of data engineers, architects, and technical leads.
Foster a culture of innovation, accountability, and continuous improvement.
Demonstrate leadership that emphasizes collaboration, transparency, accountability, and clear communication.
Drive talent development and succession planning across the data technology organization.
Lead the development and maintenance of enterprise data warehouses, data lakes, and data layers.
Ensure high availability, performance, and reliability of data platforms.
Promote best practices in data engineering, including modular architecture, metadata management, and data quality frameworks.
Leverage modern cloud platforms such as AWS, Azure, and other large-scale data technologies to deliver scalable solutions.
Collaborate with infrastructure and middleware teams to ensure seamless integration and optimal performance of data platforms.
Drive modernization efforts including cloud adoption, containerization, and microservices architecture.
Ensure data platforms support real-time and batch processing needs across the enterprise.
Build strong relationships with business leaders, technology peers, and enterprise partners to drive alignment and progress.
Partner with risk, compliance, and operations to understand priorities and deliver impactful data solutions.
Act as a liaison between technology and business stakeholders to ensure alignment and effective communication.
Manage relationships with external vendors and technology partners.
Stay abreast of industry trends in data architecture, analytics, and regulatory technology.
Drive innovation by exploring new tools, technologies, and methodologies to enhance data capabilities.
Lead initiatives to improve data accessibility, reduce operational risk, and enhance decision-making.
Apply SAFe (Scaled Agile Framework) principles to improve delivery efficiency and cross-team collaboration.