Vice President / Executive Director, Data Analytics (SME focus)

OCBC Bank (Hong Kong) Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

OCBC Bank (Hong Kong) Limited seeks a Vice President / Executive Director of Data Analytics (SME focus) to bridge business and technology. Lead end-to-end data analytics using AI/GenAI insights to drive revenue and efficiency. Collaborate with regional teams to deliver scalable data products and robust dashboards.

The role requires 10+ years in data analytics or data science, strong SME banking knowledge, and expert Python/SQL skills, plus exceptional stakeholder management.

Qualifications

• Bachelor's degree with 10+ years in data analytics or data science.
• Strong SME and Corporate Banking domain knowledge.
• Proficiency in Python, SQL, and relational databases; hands-on analytics app development.
• Strong business acumen to translate data into insights and actions.
• Experience with data visualization tools (Power BI) and dashboards.
• Familiarity with modern data ecosystems and AI in analytics.
• Excellent communication and stakeholder management skills.
• Self-driven, hands-on, and able to drive measurable business impact with data/AI.

Responsibilities

• Lead end-to-end data & analytics initiatives, including predictive modeling and GenAI-driven analytics.
• Act as a strategic data translator, turning insights into business actions and revenue impact.
• Partner with regional and in-country stakeholders to identify growth opportunities and manage risk controls.
• Design, develop, and automate dashboards and MIS using modern visualization and scripting tools.
• Build and scale data-driven products and AI-enabled solutions to improve efficiency and productivity.
• Collaborate with regional analytics teams to promote best practices and consistent delivery.
• Support the design, validation, and evolution of scalable, governed data architecture.
• Identify and integrate traditional and alternative data sources for new use cases.
• Serve as a trusted analytics advisor translating data insights into business narratives and outcomes.

Skills

Python

SQL

Relational Databases

Power BI

Data Visualization

GenAI

Stakeholder Management

Education

Bachelor’s degree or above in a relevant field

Tools

Power BI

Job description

Vice President / Executive Director, Data Analytics (SME focus)

Act as a strategic data translator, bridging business and technology by converting complex data, AI/GenAI insights, and analytical outputs into clear, actionable business strategies

Independently lead end-to-end data & analytics initiatives, incorporating predictive modeling, machine learning, and GenAI-driven analytics to support strategic decision-making and revenue growth

Partner closely with regional and in-country stakeholders (Business Units, Product, Risk, etc.) to identify growth opportunities and strengthen risk controls

Design, develop, and automate interactive dashboards and MIS using modern data visualization and scripting tools

Build and scale data-driven products and AI-enabled solutions that enhance operational efficiency and productivity

Collaborate with regional analytics teams to promote best analytical practices, and ensure consistent delivery across markets

Support the design, validation and evolution of modern data architecture, ensuring scalable, governed, and high-quality data foundations

Identify and integrate traditional and alternative data sources, and explore innovative use cases to unlock new business value

Serve as a trusted analytics and AI advisor to senior stakeholders, translating data insights into business narratives, decisions, and measurable outcomes

What are we looking for:

Bachelor’s degree or above, with 10+ years of experience in data analytics, data science, or related disciplines

Strong domain knowledge in SME and Corporate Banking, with understanding of customers, products, processes and market landscape

Proficiency in Python, SQL, and relational databases, with hands‑on experience developing analytical applications and automated reporting solutions

Strong business acumen with the ability to translate complex data into meaningful insights

Strong experience with data visualization tools (e.g., Power BI) and building intuitive, insight-driven dashboards

Familiarity with modern data ecosystems, and experience in applying AI in business analytics is an advantage

Excellent communication and stakeholder management skills

Self-driven, hands‑on, and passionate about leveraging data/AI to drive measurable business impact