Manager/ Senior Manager

[What the role is]

At IRAS, we partner you to deliver quality tax services and foster a competitive tax environment for our nation's social and economic growth. By leveraging digital capabilities as part of a future-ready team, your opportunities keep expanding.

This role supports the cultivation of an insights-driven mindset amongst staff, work with partners to engineer data to transform and enhance business processes, and to deliver impactful data science/ artificial intelligence and data analytics solutions across the organisation.

[What you will be working on]

An officer in this role would be expected to handle one or more of the following areas of work as part of day-to-day responsibilities or as assignments:

• Implement robust and scalable big data technologies/architectures for optimal data generation, extraction, transformation and storage.
• Engineer, optimise, fine-tune and maintain efficient, secure and reliable data pipelines to ingest, clean and consolidate data sources into the analytics systems and solutions.
• Conduct research on emerging big data architecture, technologies and systems.
• Build and maintain an efficient, scalable and future-proof deployment infrastructure for production quality analytics and AI applications.
• Work with data scientists to productionise and maintain analytics/ artificial intelligence solutions (e.g. applications, models) by integrating them into business processes
• Work with internal and external stakeholders on data management solutions from inception to implementation (including data discovery, data quality, metadata management, data extraction and data governance solutions)
• Provide technical guidance to others on complex data issues, handling of big data sets and use of advanced methodologies

[What we are looking for]

• Background in Computer Engineering, Computer Science, Mathematics, Software Engineering or equivalent fields
• Experience in data engineering and AI, which includes developing and maintaining data, AI infrastructure and pipelines that use big data and/or cloud platforms. Experience with cloud platforms (e.g. Azure), DevOps, MLOps is a plus.
• Familiarity in SQL, Spark and/or Python. Experience in Hadoop, Scala, DAX, TensorFlow, C++/C#, etc. is a plus
• Candidates with prior experience in data management technologies will have an added advantage
• Meticulous and analytical
• Good interpersonal, verbal and written communication skills
• Resourceful and able to work independently in a team environment