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.
Skills Required
- Bachelor’s degree in computer science or information management, or equivalent experience
- Five to eight years of experience in a data management environment
What We Do
Magnus Technologies is a trucking logistics management and transportation-technology company that develops enterprise software for carriers and brokers. Its patented, cloud-based Magnus TMS automates processes, creates operational efficiencies, and helps maximize driver and capacity utilization. The platform is designed to simplify trucking operations and reportedly supports more than 6,000 trucks and 11,000 drivers, combining logistics expertise with scalable software solutions.
