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This is a high‑impact hybrid role that demands a blend of strategic pre‑sales capability, strong technical delivery oversight, and senior stakeholder management. The individual in this role will act as the bridge between clients' business challenges and the company's Technical Centers of Excellence, ensuring the organization both secures transformative data engagements and delivers them with excellence.
We are seeking a skilled Data Engineer to join a leading team in the Media & Agency industry. This role involves building, optimizing, and maintaining data pipelines and systems to support analytics and business decisions.
The role of Data Scientist in the financial services industry involves analyzing and interpreting data to support key business decisions. This permanent position is based in Pasig and is ideal for someone passionate about turning data into actionable insights.
The Data Engineer constructs and maintains the data infrastructure, pipelines, and storage solutions required for AI model training and deployment, ensuring efficient data flow and accessibility.
As a Data Scientist in the Technology industry, you will focus on analyzing and interpreting complex data to support business decisions. This role requires strong analytical skills and proficiency in data modeling and machine learning techniques.
We are seeking a skilled Data Modeller to join the Analytics department within the Financial Services industry. This role involves developing data models and ensuring data integrity to support business decision-making processes effectively.
It is the responsibility of the Data Architect to design, develop, and manage our data systems and solutions within the Technology & Telecoms industry.
Seeking a highly technical, hands-on Senior Data Engineer to support multiple upcoming data projects. This role is ideal for someone who excels in building data pipelines from the ground up and is deeply experienced in Databricks, PySpark, and Azure.
As a Senior Data Scientist, you will lead advanced data analytics and machine learning projects to drive strategic decision-making in the Technology & Telecoms industry. This is a permanent role based in Makati, offering a chance to work on innovative solutions within the analytics department.
The Finance Data Lead focuses on supporting the analysis, design, and implementation of solutions across the financial processing chain to ensure activities are accurately reflected in financial records that meet regulatory and business requirements. You will work closely with Finance, IT, and stakeholders from different areas of the bank-assisting in initiatives, improving processes, and contributing to high-quality financial data and reporting.
The Head of Data Science will lead the bank's data science strategy and drive the development of AI/ML solutions that accelerate decision-making and business growth across key banking functions. This role works closely with the Head of Data & AI, senior leaders, and cross-functional teams to operationalize advanced analytics and embed a data-driven culture across the organization.
The SAP Data Engineer designs and maintains scalable data pipelines, ETL solutions data ingestion and conversion to support analytics and enterprise data platforms. This role requires experience in both data engineering practices and SAP S4/Hana/ECC.
The Senior Data Engineer will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure to support business operations in the retail industry.
The Head of Data Engineering will lead the development and management of robust data systems to support analytics and innovation initiatives. This role in the Technology industry requires expertise in data architecture, team leadership, and driving scalable solutions.
The Senior Data Engineer will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure to support advanced analytics in the healthcare industry. This position requires a strong technical background to ensure seamless data integration and optimization across various platforms.
This role involves leading the design and development of scalable data pipelines, optimizing data systems for performance, and ensuring data quality across multiple platforms.
CRM Data Analyst Retail will oversee the development and implementation of customer data strategies within the retail industry, ensuring that insights drive impactful business decisions. This role focuses on utilizing analytics to optimize customer relationship management and enhance consumer engagement.
The Chief Information & Data Officer will oversee the strategic direction and management of information technology and data initiatives within the finance industry. This role will focus on driving innovation, ensuring data integrity, and aligning IT strategies with business objectives.
This role is a key position within the risk organization, leading modeling initiatives for UnionDigital's Risk Management team. He will develop and refine scoring models across various risk domains using both traditional methods and advanced AI/ML techniques. In partnership with the tech team, he will design ML Ops pipelines and frameworks to enable rapid deployment and automated monitoring of models.
The Data Center Shift Supervisor leads shift operations to ensure continuous data center reliability by overseeing system monitoring, settlement processing, and incident response. The role enforces operational standards, supports testing activities, and maintains timely communication to uphold SLAs and minimize operational risks.
The SAP Data Conversion Analyst is responsible for designing and maintaining scalable data pipelines and executing data conversion activities using SAP ETL tools. The role involves data ingestion, preparation, validation, and collaboration with analysts and architects to deliver reusable data products and support advanced analytics initiatives.
The Senior Data Analyst role focuses on developing, maintaining, and improving product & systems to support business processes in the ERP sector. This position is ideal for a tech-savvy professional with a strong background in data analysis and product / system management.
The Data Warehouse (Alibaba) role focuses on supporting analytics and data management in the financial services industry. This position requires a deep understanding of data warehousing solutions, specifically within the Alibaba ecosystem, to drive insights and efficiency.
The Lead and Senior Data Analysts will play a key role in driving insights and analytics within the healthcare sector. This position focuses on leveraging data to support decision-making processes and improve operational efficiency in analytics.
Are you a problem solver with a strong background in data science and big data technologies? As an Application Engineer, you'll play a key role in customizing and deploying a cutting-edge platform for AML (Anti-Money Laundering) and fraud detection to meet client-specific needs.
Seeking a Lead Data Scientist to drive analytics projects and provide data-driven insights within the financial services industry. This role focuses on leveraging advanced analytics to support strategic decision-making and improve business outcomes.
The Credit Risk, Data Analytics Presales position in the Financial Services industry requires expertise in analytics and credit risk solutions. The role is based in Manila and involves supporting presales activities and client engagements.
This role leads country‑level growth for Pure Storage solutions, driving revenue through strategic partners and enterprise accounts. You will own sales strategy, quota delivery, and go‑to‑market execution for Pure Storage hardware, software, and services.
Join a dynamic team driving innovation in AI and data science to transform digital experiences across millions of users. This leadership role offers the opportunity to shape strategic AI initiatives and mentor a high-performing team in a fast-paced, tech-forward environment.
The Data Governance Manager will lead the development and implementation of data governance strategies to ensure the effective management and utilization of data. This role focuses on establishing policies and frameworks within the company to support business objectives.
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