About the position
To lead the Data Migration Workstream.
To facilitate review sessions with Business stakeholders, Implementation Partner, and the Technical Team.
To review and facilitate sign off for data migration artifacts by all the relevant signatories.
To guide and facilitate activities and deliverables in the data migration workstream.
To develop, construct, test and maintain architectures.
To ensure architectures will support the requirements of business.
To discover opportunities for data acquisition and sharing.
To develop data set processes for data modelling, mining and production.
To employ a variety of languages and tools to marry systems together.
To recommend way to improve data reliability, efficiency and quality.
To prepare data for use in predictive and prescriptive modelling.
To conduct research to answer industry and business questions.
To leverage volumes of data from internal and external to answer business questions.
To develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision making and appropriate data usage.
To participate and provide technical support in cross organisational activities relating to any of the above-mentioned data management activities.
To provide regular progress reports as per stakeholder requirements and present data management updates in various forums as required.
Minimum Requirements:
Minimum Qualification Required:
A minimum of a Bachelor’s degree in Computer Science or Information Management OR equivalent.
A minimum of five to eight years’ experience in a data management environment.
The following will be an added advantage:
Competencies:
Analysis and problem solving
Effective communication
Planning and organising
Service and stakeholder focus
Conceptual thinking
Drive for results
Attention to detail
Key performance measures:
To develop, construct, test and maintain data pipelines architectures.
To ensure interoperability of systems by designing and maintaining integration patterns (APIs, etc.), data exchange formats, and integration protocols.
To design and build data pipelines that are robust, modular, scalable, deployable, reproducible and versioned for data domains and business domains.
To quality assure data pipelines implementations to ensure adherence to data engineering frameworks and standards.
To recommend ways to improve data reliability, efficiency, and quality.
To monitor and optimise domain-specific data pipelines to ensure reliable data availability and sustained performance over time.
To develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision making and appropriate data usage.
To maintain documentation for data pipelines, integration processes, and interoperability.
To manage data growth patterns to plan infrastructure needs, ensure compliance with retention frameworks, and support responsible data sharing.
To enable and support the technical implementation of data management capabilities, including, data quality, metadata management, master and reference data management, data architecture and data modelling, data security and privacy, data lifecycle and retention management, data cataloguing and lineage, and analytics enablement.
Desired Skills:
- Analysis and problem solving
- Effective communication
- Planning and organising
