Our client in the Heathcare industry is looking for a Scrum Master to join their Data Management and Analytics department.
The ideal candidate would have a Scrum Master Certification (CSM) and be an Agile Certified Practitioner (PMI-ACP).
Prior experience in a Data department working in an Agile environment with a background in Microsoft DevOps, data pipelines, machine learning, and reporting and database design principles is essential.
This is a permanent onsite position in Sandton with occasional Hybrid working arrangements Essential background: Bachelor's Degree at the appropriate NQF level around computer science, software engineering, information technology, or business administration.
Certified Scrum Master (CSM) or Agile Certified Practitioner (PMI-ACP) A minimum of 5 years' experience as a Scrum Master (even in non-data-specific teams) working in Agile environments or in project management roles.
A minimum of 2 years' experience working in the field of Data discipline.
Good exposure to a data environment and a good understanding of data pipelines, machine learning, and reporting.
Advantageous background: Experience with Microsoft DevOps and managing product backlogs.
Familiarity with data tools, programming languages (e.g., Python, SQL), and platforms like SAP BW, SSRS, PowerBi, or Microsoft Azure.
Knowledge: Provide support to the ever-evolving strategy of person-centred health and care.
Continuously deepen the awareness of the strategy to address new challenges within the Healthcare sector, to build a competitive advantage and sustainability through the company's moat strategy.
This role requires substantial expertise in a broad range of software development and programming fields, knowledge of data analysis, data structures, algorithms, and distributed computing.
Solid understanding of physical database design principles and the system development life cycle.
Ability to work in an agile multi-disciplined environment.
Solution-focused and strong collaborative mindset.
Demonstrates excellent organizational skills: organized and structured.
Outstanding problem-solving and analytical skills.
Understanding of data flows between systems, ETL, and processing of structured and unstructured data within the data architecture within distributed systems (Hadoop).
Knowledge of industry standards and organizational frameworks to produce procedures and standards.
Knowledge of the process of scientifically and statistically evaluating data to determine whether it meets the quality required for projects or business processes and is of the right type and quantity to be able to actually support its intended use.
Working knowledge and familiarity with data profiling tools.
Knowledge of the central repository for all significant parts of data.
Knowledge of data structuring, serialization framework, and optimization of map-reduce/spark jobs running in daily batch jobs.
Knowledge of how to combine technical and business processes to combine data from disparate sources into meaningful and valuable information.
The ability to plan, implement, integrate, and control activities and processes to provide golden sources of contextual data.
Knowledge of trends and developments in the healthcare industry.
Knowledge of health-related policies, procedures, and legislation.
Working knowledge of multi/hybrid cloud environments and implementations.