Senior Data Architect

CORE PURPOSE OF THE POSITION

The Senior Data Architect is responsible for designing, implementing, and managing data and AI architecture solutions that support the organisation''s strategic objectives. The role will be

responsible for the KPIs including but not limited to- system uptime, data quality, compliance rate, delivery timelines, stakeholder satisfaction. Enabling AI / ML capabilities through scalable data

platforms, ensuring readiness of data for AI use cases, and guiding the implementation of AI solutions across the enterprise will also be required.

Qualification :

BSc Computer Science or equivalent degree

At least 10 years IT experience of which 8 years must be in data

architect or data engineering role.

Proven experience in designing and implementing AI / ML

solutions in enterprise environments. Exposure to MLOps and

AI model operationalization in either of the following platforms

(e.g. Azure, AWS, or Google)

KNOWLEDGE :

• Healthcare experience
• Database management system software, especially Microsoft SQL Server
• Databases such as ADABAS, NoSQL, and cloud computing
• Data mining and modelling tools, especially ERWin,Enterprise Architect, and Visio
• Programming languages, e.g. Natural (SAG), Python, and Java, as well as C / C++ and Perl
• Operating systems- Lists UNIX, Linux, Solaris, Windows, ZOS
• AI and machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) Knowledge of AI solution design and architecture (including NLP, computer vision, recommendation systems)

Skills :

Other requirements :