Master Data Management Manager in Craigavon

Master Data Management Manager in Craigavon

Craigavon Full-Time 40500 - 49500 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead master data processes and enhance data governance across a dynamic organisation.
  • Company: Join a leading international organisation focused on business transformation and operational efficiency.
  • Benefits: Competitive salary, influence significant projects, and collaborate with global teams.
  • Other info: Exciting opportunities for automation and career growth in a supportive team.
  • Why this job: Shape the future of data management and drive impactful changes in a multi-site environment.
  • Qualifications: 5+ years in Master Data Management with strong analytical and stakeholder management skills.

The predicted salary is between 40500 - 49500 £ per year.

An established international organisation is seeking an experienced Master Data Management professional to take ownership of its end-to-end master data processes, governance and data quality framework. This is an exciting opportunity to play a pivotal role in a significant business transformation programme, ensuring data accuracy, consistency and integrity across a complex, multi-site organisation.

The successful candidate will work closely with IT, business stakeholders and international teams to enhance data management capabilities and drive improvements across the organisation.

Salary / Benefits

  • Competitive salary (dependent on experience)
  • Opportunity to influence a significant data transformation programme
  • Exposure to international stakeholders and business functions
  • Opportunity to shape and improve master data governance and systems

About your next employer

Our client is a leading international organisation with a substantial operational footprint and a strong focus on business transformation, technology and operational efficiency. As part of its ongoing investment in data and systems, the organisation is strengthening its Master Data Management function to improve governance, standardisation and data quality across its business units. You will join a key function within the wider organisation, working alongside IT specialists, business process owners and senior stakeholders to ensure master data processes support wider business objectives.

About you

  • 5+ years' experience within Master Data Management, Data Governance, Data Operations or a similar discipline.
  • Strong understanding of master data workflows, data structures and lifecycle management.
  • Experience implementing and maintaining data governance frameworks and quality standards.
  • Knowledge of customer, supplier/vendor and material master data.
  • Experience working with ERP platforms, ideally SAP.
  • Strong understanding of data quality, controls and process standardisation.
  • Excellent analytical and problem-solving skills, with the ability to investigate complex data issues.
  • Strong stakeholder management skills, with the ability to work across technical and non-technical teams.

Desirable:

  • Experience with SAP Material Management (MM), particularly customer and vendor-related data.
  • Background within food manufacturing, FMCG or supply chain environments.
  • Experience working with MES, MTech or other integrated business systems.
  • Knowledge of data analytics and visualisation tools.
  • Understanding of SOX requirements, audit controls and data compliance.

What you'll do

  • Take ownership of the end-to-end Master Data Management framework and associated processes.
  • Develop and maintain data governance policies covering data quality, retention and lifecycle management.
  • Ensure master data standards are consistently applied across multiple business units and locations.
  • Identify and implement improvements to customer, supplier and material data processes.
  • Act as the subject matter expert for master data workflows, systems and governance.
  • Work closely with IT teams and business stakeholders to deliver system enhancements and new solutions.
  • Lead end-to-end testing, regression testing and implementation of master data system developments.
  • Monitor data quality through KPIs, reporting and analysis, identifying opportunities for improvement.
  • Ensure master data documentation, operating procedures and training materials are maintained.
  • Support business units in resolving complex data-related issues and embedding standardised processes.
  • Ensure appropriate controls are in place across master data processes, including audit and SOX requirements.
  • Drive opportunities for automation, digitalisation and improved utilisation of ERP systems.

Master Data Management Manager in Craigavon employer: VANRATH

As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.

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Contact Details:

VANRATH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Master Data Management Manager in Craigavon

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like VANRATH.

✨Apply Directly through Our Website

When you find a suitable opening like Master Data Management Manager at VANRATH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Master Data Management Manager in Craigavon

Master Data Management
Data Governance
Data Quality Framework
Data Structures
Lifecycle Management
ERP Platforms (SAP)
Analytical Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at VANRATH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VANRATH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at VANRATH

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

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!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

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.