DATA INTELLIGENCE ENGINEER

Metrobank; Pasay; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Metrobank in the Philippines is seeking a Data Innovations Engineer to design, develop, deploy, and maintain AI, GenAI, ML, and advanced analytics initiatives across the Finance and Control Sector. You will work with trusted data assets and the Enterprise Data Platform to deliver scalable solutions that improve accounting, budgeting, reporting, and forecasting, enabling informed decisions.

The role emphasizes governance, security, and collaboration with cross-functional teams to scale

Qualifications

• Bachelor’s degree in a data-related field.
• 3–5 years of experience in ML, AI, analytics, or data engineering.
• Experience with end-to-end data/AI solutions in enterprise environments.
• Experience with structured and unstructured data.

Responsibilities

• Design, develop, deploy, and maintain data innovation initiatives for Finance and Control sector.
• Leverage Enterprise Data Platform to ensure scalability and integration with systems.
• Build reusable data assets and accelerators for data innovation.
• Ensure data governance, quality, and security for enterprise data and AI.
• Evaluate emerging technologies and scale successful proofs of concept.

Skills

Data Science

Machine Learning

Advanced Analytics

Data Engineering

Education

Bachelor’s Degree in Data Science, Computer Science, Engineering, Information Technology, Mathematics, Statistics, or related fields

Tools

Azure

AWS

Google Cloud

Snowflake

Job description

Here at Metrobank, we don't simply hire employees—we hone future leaders. We provide opportunities that enhance your skills and unlock your talents, helping you evolve into a well-rounded individual. We supply you with all the pieces you need to do your best work, unleashing your full potential to help you secure your future and lead a fulfilling career. And with Metrobank's strong heart for the community, you have the chance to give back and make worthwhile contributions to our nation's economic and social development. With Metrobank, a meaningful life is within your reach!

Position Title: Data Innovations Engineer

Job Summary:

The Data Innovation Engineer is responsible for designing, developing, deploying, and maintaining data innovation initiatives such as Artificial Intelligence (AI), Generative AI (GenAI), Machine Learning (ML), Advanced Analytics, and Intelligent Automation solutions for the Finance and Control Sector. The role drives innovation through the use of trusted data assets, advanced analytics, and emerging technologies to enhance accounting, financial planning, budgeting, reporting, and forecasting, enabling informed decision-making, and sustainable growth.

Role Exposure:

• Identify, evaluate, prioritize, and implement data innovations use cases that deliver measurable outcomes.
• Design, develop, deploy, and maintain scalable data and analytics solutions leveraging trusted Enterprise Data Platform (EDP) ensuring scalability, reliability, performance, and integration with business processes and enterprise systems.
• Build and enhance data innovation capabilities within the Finance and Control Sector through reusable assets, accelerators, and best-practice solution design.
• Ensure solutions utilize governed, high-quality, and trusted data sources by applying data engineering, data quality, and data management best practices.
• Support governance, model monitoring, validation, security, and compliance controls for the responsible, ethical, and secure use of enterprise data and AI technologies.
• Drive innovation, experimentation, and continuous improvement by evaluating emerging technologies, developing proofs of concept, and scaling successful solutions into production.
• Performs other functions that may be assigned from time to time.

Qualifications:

• Bachelor’s Degree in Data Science, Computer Science, Engineering, Information Technology, Mathematics, Statistics, or related fields
• Relevant certifications in Data Engineering, Data Science, Cloud Platforms, Database Technologies, or Data Management (e.g., Microsoft Azure, AWS, Google Cloud, DAMA, Snowflake) are an advantage
• Minimum 3–5 years of experience in: Machine Learning; Artificial Intelligence; Data Science; Advanced Analytics; Data Engineering
• Experience developing end-to-end data and AI solutions in enterprise environments.
• Experience working with structured and unstructured data.
• Experience supporting Finance, Banking, Risk, or Regulatory functions is preferred.