At a Glance
- Tasks: Lead data migration efforts and improve data quality for a major ERP transformation.
- Company: Join a forward-thinking organisation driving operational efficiency through modernised systems.
- Benefits: Competitive salary, potential contract extension, and opportunities for professional growth.
- Other info: Dynamic role with hands-on responsibilities and excellent career advancement potential.
- Why this job: Make a real impact on data governance and influence future business processes.
- Qualifications: Experience in data migration, governance, and strong stakeholder engagement skills.
The predicted salary is between 60000 - 75000 £ per year.
Ownership of key master data workstreams with real business impact.
Collaboration with senior stakeholders across multiple departments.
Hands-on role influencing future data standards, governance, and processes.
Potential contract extension based on programme requirements.
The organisation is undertaking a significant ERP transformation designed to modernise systems, streamline processes, improve reporting, and drive operational efficiency.
Working closely with the ERP project team, technical partners, and senior business stakeholders, you will take responsibility for assessing existing data landscapes, improving data quality, supporting migration readiness, and implementing sustainable master data governance practices.
Key responsibilities:
- Support the development and delivery of the master data strategy for a major ERP implementation.
- Review and assess data sources across ERP platforms, spreadsheets, databases, and existing business processes.
- Partner with stakeholders to understand current challenges and define future-state data requirements.
- Lead data cleansing, standardisation, validation, and improvement initiatives across key business areas.
- Manage critical datasets including customer, product, supplier, pricing, finance, and operational data.
- Support data mapping, migration planning, uploads, testing, and UAT activities.
- Develop processes and controls to maintain accurate, reliable master data throughout the transformation journey.
- Help establish the future master data operating model, including ownership, governance, reporting frameworks, and controls.
- Ensure robust data foundations are in place to enable accurate reporting and business decision-making after go-live.
About you:
- Proven experience working with master data, data migration, data quality, or data governance within an ERP environment.
- Previous involvement in ERP implementations, upgrades, or large-scale transformation programmes.
- Strong understanding of data cleansing, mapping, validation, migration, and testing processes.
- Experience managing business-critical datasets such as customer, product, supplier, pricing, finance, or operational data.
- Ability to engage effectively with stakeholders, gather requirements, and drive process improvements.
- Comfortable operating in a hands-on delivery role while providing guidance and expertise to others.
- Strong analytical, organisational, and problem-solving capabilities.
- Experience leading projects, managing workstreams, or mentoring team members would be advantageous.
For further information on this opportunity, apply via the link or contact the VANRATH team for a confidential discussion.
Data Migration Lead employer: VANRATH
Join a forward-thinking manufacturer in the Derry area as a Maintenance Technician, where you'll enjoy a stable dayshift role with an early finish every Friday. Our supportive team environment fosters professional growth, offering excellent training and development opportunities, ensuring you can advance your career while contributing to continuous improvement projects in a modern manufacturing facility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Lead
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We think you need these skills to ace Data Migration Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
