- Define business processes and value chains relevant to FinSurv
- Identify, optimise, and integrate business processes, value streams and operating model
- Interpret and implement industry process standards and frameworks (e.g., APQC, Togaf)
- Analysis, design, development of business process to improve systems, data, information and people skills within specific functional areas.
- Review current state processes and identify problem areas, inefficiencies, and control weaknesses.
- Proactively identify improvement opportunities and recommend alternative solutions to business owners
- Identifying and assessing automation opportunities within FinSurv and provide recommendations for application
- Develop detailed business process flows and include how technology solutions will enable the business processes.
- Contribute and advise on developing Target Operating models and related artifacts
- Provide process documentation and operating instructions
- Conduct and contribute to process asset management such as repository content management, methodology and related artefacts
- Collaborate with key stakeholders such as architects, SMEs, process owners, technical experts to ensure viable and sustainable solutions.
Minimum Requirements:
Minimum qualification required:
- Degree or Diploma in – Information Technology, Engineering, Informatics or Business Information Systems, Computer Science
Minimum Experience Required:
- A minimum of 7- 10 years relevant experience
- At least 5 years proven work experience strictly in data engineering and data warehousing
- Experience in ETL tools such as Informatica and Oracle will be an advantage
The following will be an added advantage:
- Experience in database technologies such as Teradata and Oracle
- Experience in PowerBI and or SAS
- Experience in programming languages such as R and Pyton
- Experience with ML/AI capabilities.
- Experience working with Data governance frameworks such as DAMA
Knowledge & Skills:
- Knowledge of data warehousing and data modelling
- Knowledge of data privacy and related privacy polices
- Knowledge and experience on Data Migrations and data audits
- Knowledge and experience cloud applications
- Knowledge and experience with data governance frameworks such as DAMA
Desired Skills:
- data engineering
- data warehousing
- ETL tools
- Informatica
- Data governance frameworks
- Python
- ML