Chief Data Office-Data Analytics VP

Sumitomo Mitsui Trust Bank Limited New York Branch; New York (NY); On-site; USD 110,000 - 230,000; Full time

Job summary

Bank of China in New York seeks a Data Analytics VP to lead cross‑functional analytics initiatives, shape data strategy, and drive business outcomes through advanced analytics, dashboards, and data automation.

You will collaborate with stakeholders, supervise analysts, and oversee ML/AI projects, ensuring rigorous data governance and clear, actionable insights for executive leadership.

Qualifications

• Bachelor's degree in data analytics or related field required; Master’s preferred.
• 5+ years of data analytics experience including SQL, Python and BI tools.
• 3+ years in dashboard development and data visualization.
• 2+ years in ML/AI initiatives and model development.
• Strong communication and project management skills; banking experience preferred.

Responsibilities

• Lead BI/dashboard development for executive and operational users.
• Perform in-depth data analysis to identify trends, risks and opportunities.
• Apply ML/AI techniques to business problems and monitor model performance.
• Design automated data delivery and reporting pipelines to improve efficiency.
• Collaborate with stakeholders to gather data requirements and translate into solutions.
• Present insights to leadership and promote analytics governance and best practices.

Skills

SQL

Python

Dashboard development

Communication

Project management

Machine Learning/AI

Financial services experience

Data analytics

Stakeholder management

Education

Bachelor's degree

Master’s degree in analytics

Tools

Business Intelligence Tools

Job description

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long‑term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.

The Data Analytics VP will serve as a key member of the CDO Data Analytics team, supporting bank‑wide data and business analytics initiatives and driving improved business outcomes through the effective use of data across the organization.

Includes but not limited to

Data Analytics

• BI Dashboard/Executive Dashboard Development Leverage Business Intelligence tools to design and build interactive dashboards. Develop clear, insightful visualizations that track key performance and risk indicators, diagnose issues, surface data‑driven solutions, and empower stakeholders to make informed, timely decisions.
• In-depth Analysis Perform comprehensive analysis of complex datasets to identify trends, patterns, and anomalies. Translate findings into actionable insights that support data‑enabled decision‑making and drive continuous improvement across the organization.
• Advanced Analytics Including Machine Learning/AI Identify high‑value opportunities to apply advanced analytics, including Machine Learning and AI, to solve business challenges, improve performance, and mitigate risks. Develop predictive models and other advanced analytical solutions to uncover deeper insights and support strategic initiatives. Support experimentation, A/B testing, and model performance monitoring.
• Automation Support the design and implementation of automated processes to streamline workflows and reporting. Improve operational efficiency, reduce manual effort, and ensure consistent, accurate, and timely data delivery through automation.

Communications

• Stakeholder Collaboration Gather and evaluate specific data requirements from business stakeholders including executive members, propose tailored data solutions through analytics, and effectively communicate these solutions.
• Presentation and Communication Create effective presentation decks to present data analysis results to stakeholders and management.
• Advocacy and Education Promote data analytics best practices and technology adoption within the organization.
• Bachelor’s degree required; Master’s degree in computer science/statistics/applied analytics/business analytics or other analytics relevant majors preferred
• At least 5 years of experience in data analytics, SQL, Python and Business Intelligence Tools
• At least 3 years of experience in dashboard development
• At least 2 years of experience in Machine Learning/AI
• Good communication skills (written and verbal) and project management experience required
• Financial Services Experience Required, Banking experience preferred
• Strong analytical, machine learning and Artificial Intelligence (AI), decision‑making and problem‑solving skills

USD $110,000.00 - USD $230,000.00 /Yr.