Job Description

SCOPE:

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Operational Excellence and Process Optimization

Design and implement automated data pipelines for processing lifestyle big data (physical activity, sleep, food, smoking) with 99.9% reliability. Establish real-time monitoring systems and automated health check reports with quarterly updates. Implement robust data access controls and monitoring systems to ensure secure data operations.

Technical Leadership and Quality Assurance

Architect scalable solutions for managing data requests and develop incremental load strategies with data lineage tracking. Collaborate with the Data Quality Assurance team to implement automated testing and validation frameworks. Ensure accuracy in data delivery and compliance with data governance standards. Provide process improvement recommendations to drive reduction in data service incidents.

Service Delivery Enhancement

Develop standardized frameworks for evaluating and fulfilling data requests, reducing processing time. Lead first-level (L1) triage operations and establish clear escalation pathways for complex issues. Create and maintain comprehensive documentation and knowledge management systems. Achieve stakeholder satisfaction in data service delivery and conduct quarterly service reviews.

REQUIREMENTS:

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Relevant work experience in data integration, analytics, statistics or public health. Minimally 5 years of experience in data modelling and engineering, systems implementation, service operations or equivalent roles at Senior Consultant level. Must be proficient in Python and possess adeptness with large-scale datasets. Strong stakeholder engagement skills coupled with strong process-oriented qualities and the ability to quickly grasp business requirements. Problem-solving mindset and adaptability in a fast-paced environment. Bachelor or Masters degree in Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university. * Professional certifications in data science and business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable.