Senior IA Data Architect & Analytics Lead

SINGAPORE AIRLINES LIMITED; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Singapore Airlines Limited seeks a senior data analytics specialist to lead the IA Digital roadmap, focusing on the Central Audit Analytics Platform (CAAP). You will design data pipelines, manage data lakes, and apply AI-driven methods to boost audit efficiency and insights.

Collaborate with IA stakeholders and technical teams to ensure secure data handling, governance, and data-driven risk decisions. Requires 10+ years in data analytics, Python/R, AWS, and strong communication.

Qualifications

• Bachelor's degree in Computer Science or equivalent; 10+ years data analytics experience.
• Proven expertise in data pipeline construction and data lake management.
• Experience handling structured and unstructured data.
• Strong technical skills in data analytics tools (Python, R) and AWS.
• Excellent communication skills.
• Leverage Gen AI to expedite the delivery of the solutions.
• Passion for delivering value and driving successful outcomes for the organization.

Responsibilities

• Develop architecture and key data pipelines for heterogenous datasets.
• Ensure solution architecture addresses IA's objectives and business needs.
• Design efficient solutions to meet initiative outcomes.
• Work with technical teams to build secure data pipelines.
• Use data analytics for structured and unstructured data to identify patterns and anomalies.
• Outline data lineage to trace sources of anomalies.
• Apply quantitative analysis methods for business decisions.
• Leverage data team's expertise to solve critical technical problems.
• Address data risks, including PII, and ensure secure data handling.

Skills

Python

R

Data analytics

Communication

Gen AI

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS

Data pipelines

Data lake management

Job description

Singapore Airlines Limited seeks a senior data analytics specialist to lead the IA Digital roadmap, focusing on the Central Audit Analytics Platform (CAAP). You will design data pipelines, manage data lakes, and apply AI-driven methods to boost audit efficiency and insights.

Collaborate with IA stakeholders and technical teams to ensure secure data handling, governance, and data-driven risk decisions. Requires 10+ years in data analytics, Python/R, AWS, and strong communication.