Role Name: EIM Data Lead

Role Description:

•                  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

•                  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.

•                  Analysis and problem solving

•                  Effective communication

•                  Planning and organising

•                  Service and stakeholder focus

•                  Conceptual thinking

•                  Drive for results

•                  Attention to detail

•                  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.