DATA INTELLIGENCE ENGINEER

Metrobank; Makati; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Metrobank is seeking a Data Innovations Engineer to design, develop, deploy, and maintain AI, GenAI, ML, and analytics initiatives for the Finance and Control Sector. The role focuses on trusted data assets, advanced analytics, and innovative technologies to enhance accounting, planning, budgeting, reporting and forecasting.

You will drive value by evaluating use cases, building scalable data solutions, and ensuring governance and security across enterprise data assets.

Qualifications

• Bachelor’s degree in data-related fields; relevant certifications are an advantage.
• 3–5 years of experience in ML, AI, data science, analytics or 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.

Responsibilities

• Identify and implement data innovations use cases delivering measurable outcomes.
• Design, develop and deploy scalable data and analytics solutions leveraging enterprise data platforms.
• Build reusable assets and accelerators to enhance data innovation in Finance and Control.
• Ensure data sources are governed, high quality, and trusted; apply data management best practices.
• Support governance, model monitoring, security, and compliance for data and AI.
• Evaluate emerging technologies, develop proofs of concept, scale successes to production.
• Perform other duties as assigned.

Skills

Machine Learning

Artificial Intelligence

Data Science

Advanced Analytics

Data Engineering

End-to-end Data Solutions

Structured & unstructured data

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Computer Science

Tools

Microsoft Azure

AWS

Google Cloud

Snowflake

Data Management Platforms

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.