Head of Data Science & AI Strategy

China Bank PH; Philippines; On-site; PHP 5,000,000 - 8,000,000; Full time

Job summary

China Bank Philippines seeks a Data Science Lead to drive advanced analytics and AI solutions that enable business growth. You will lead a team of data professionals, partner with stakeholders, and shape data-driven decision-making across the organization.

The role requires a strong background in data science, leadership, and experience delivering predictive models and analytics initiatives in a banking context. Collaboration with IT and business units is essential.

Qualifications

• Bachelor's degree in a relevant field; advanced degree preferred.
• 10+ years in data science or analytics with 5+ years in leadership.
• Banking experience is preferred; strong data analysis and ML skills.
• Proficiency in Python or R and data manipulation tools like SQL.
• Experience with big data tech and cloud platforms is advantageous.

Responsibilities

• Define and execute the data science strategy aligned with business goals.
• Lead, mentor, and develop a data science team and culture of innovation.
• Collaborate with business units to identify opportunities for data science impact.
• Develop predictive models and ML solutions to address complex challenges.
• Oversee projects end-to-end from ideation to deployment and value realization.
• Ensure data quality, governance, and security across initiatives.
• Present insights and business impact to senior stakeholders.

Skills

Python

R

SQL

Tableau

Power BI

Data visualization

Statistical modeling

Leadership

Analytics

Education

Bachelor's degree in Data Science / CS / Statistics

Advanced degree (Master's or PhD) preferred

Tools

Hadoop

Spark

AWS

Azure

Job description

China Bank Philippines seeks a Data Science Lead to drive advanced analytics and AI solutions that enable business growth. You will lead a team of data professionals, partner with stakeholders, and shape data-driven decision-making across the organization.

The role requires a strong background in data science, leadership, and experience delivering predictive models and analytics initiatives in a banking context. Collaboration with IT and business units is essential.