Vice President / Executive Director, Data Analytics (SME)

OCBC; Hong Kong; On-site; HKD 900,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Job summary

OCBC in Hong Kong invites a senior data analytics leader to translate data insights into strategic business actions. You will lead end-to-end analytics initiatives, build AI-enabled solutions, and collaborate with regional teams to drive growth and improve risk controls.

The role requires 10+ years in data analytics, strong Python/SQL, Power BI, and excellent stakeholder communication. Join OCBC to shape data-driven decisions across markets and advance a sustainable finance agenda.

Qualifications

• 10+ years in data analytics or related fields.
• Strong domain knowledge in SME and Corporate Banking.
• Proficient in Python and SQL, with dashboard/reporting experience.
• Experience with Power BI and data visualization.
• Excellent communication and stakeholder management.

Responsibilities

• Translate data and AI insights into clear business strategies.
• Lead end-to-end data and analytics initiatives with predictive modeling and GenAI.
• Collaborate with regional stakeholders to identify growth opportunities.
• Design, develop, and automate dashboards and MIS.
• Build data-driven products and AI-enabled solutions.
• Promote best analytical practices across markets.
• Support modern data architecture for scalable, high-quality data.
• Identify traditional and alternative data sources for new value.
• Advise senior stakeholders translating insights into decisions and outcomes.

Skills

Python

SQL

Power BI

Communication

Stakeholder management

Self-driven

Data storytelling

Education

Bachelor’s degree or above

Tools

Relational databases

Job description

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

What You Will Be Doing

• 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

What We Offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.