Fresh Roles at Old Mutual South Africa

Job Description

Define and lead the execution of the data engineering strategy with the intent to significantly evolve the enterprise data warehouse, ensuring seamless data pipelines and maintain data for availability and usability by the insights division. Lead the transformation of the data human capital to de-risk the environment and ensure adaptability to the changing technological landscape and the journey to the cloud.

Define and lead the execution of the data engineering strategy.

• De-risk the current data warehouse, data lake and reporting environment by ensuring well documented process and reduction in key people dependencies.
• Evolve the people capability from ETL developers to data engineers, minimise the dependency on external contractors and build a future fit internal capability with the right skills to navigate the rapidly changing technology landscape.
• In collaboration with the data foundation, IT Infrastructure and Enterprise Architecture functions lead the design, development and support of the various data marts/warehouses for both on and off platform data.
• Define and lead the creation and maintenance of solid data pipelines from a multitude of sources.
• Participate in the various data quality improvement and data augmentation programs and ensure seamless integration into the various data structures.
• Engineer data in the appropriate formats for downstream analytics and pricing.
• Lead the creation of an enterprise data warehouse from the various system warehouses, data marts and other data sources.
• Ensure that all data solutions are aligned and sequenced with the organisations cloud strategy.
• Develop an overall data capture, storage, and dissemination framework and tools for business as well as other areas of the data office.
• Design and implement scalable and robust software platforms for ingesting and transforming datasets and visualizing the data insights through an interactive dashboard, using data technologies.
• Foster and environment of constantly learning to ensure that data engineering principles are spread across all areas of the data office.
• Lead the transformation of the human capital capability to ensure adaptability and agility in a fast paced and changing environment.
• Ensure appropriate succession planning is in place so as not to put the strategic objectives at risk.

Continuous improvement to ensure effective service

• Ensure statutory and legislative knowledge is always current in order to resolve complaints, to advise the business on corrective solutions to mitigate risks and to improve the customer experience whilst complying with governance requirements.
• Ensure adherence to organisational policies, practices and procedures.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.

Service delivery to ensure customer satisfaction

• Maintain service, quality and desired outputs across the business process by ensuring compliance to tactical policies, procedures and standards.
• Establish productive operational relationships with key stakeholders in the various channels and administrative teams.
• Develop work routines in line with operational plans / schedules in order to manage achievement of service delivery goals.
• Share knowledge on, and participate in the creation of new standards, control systems and procedures to maintain service delivery.

Ensure cost efficiency through financial and corporate governance

• Contribute to the development and implementation of fit for purpose budgets.
• Manage supplier relationships, and budgets associated with projects.

Manage quality people practices

• Align own behaviour with the organisation culture and values.
• Share and transfer product, process and systems knowledge to colleagues and team members.
• Collaborate and work with the business to deliver required service levels.
• Actively share information with other team members regarding successes, issues, trends and ideas.

Experience, knowledge & skills required

• Relevant degree in Computer Science/Engineering,
• Master’s in Business administration would be advantageous.
• 8 – 10 years’ experience in Data Engineering
• 3 – 5 years’ experience in architecting data solutions with the latest hardware and software engineering competencies.
• Strong experience in building fast, robust, effective and efficient analytics data pipelines with modern cloud development technologies covering data collection, transformation, storage and exposure