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- Tasks: Lead the charge in defining and maintaining data standards for seamless operations.
- Company: Join a dynamic company committed to excellence and diversity in master data management.
- Benefits: Enjoy hybrid working options and a supportive, inclusive workplace culture.
- Why this job: Be at the forefront of driving continuous improvement and making a real impact.
- Qualifications: Previous experience in Master Data Management, ideally in a leadership role within a large organisation.
- Other info: This role is based in Slough, working Monday to Friday during normal office hours.
The predicted salary is between 43200 - 72000 £ per year.
Job Description We have an exciting opportunity for a Customer Master Data Domain Lead to join our team reporting to the Manager of Master Data Management. The Customer Master Data Domain Lead plays a pivotal role in establishing, implementing, and maintaining data standards within their domain to ensure seamless process execution. This individual is responsible for defining data standards, setting ownership models, and creating quality measures and KPIs under the scope of MDM Governance. They collaborate with MDM teams to define and implement data maintenance processes, ensure adherence, and measure effectiveness. Additionally, they define business rules for data quality, disseminate quality reports, review issues, and drive actions for resolution. The role also involves prioritizing improvement projects, managing data migrations, aligning resources from the business, and owning escalations. This position is integral to driving continuous improvement and fostering excellence in master data management practices. This role is based from our headquarters within Slough working Monday to Friday normal office hours. (hybrid working) Duties & Responsibilities (not limited to) MDM Governance: Defining data standards for the domain Defines quality measures and KPIs Master Data Maintenance: Working with MDM team defines data maintenance processes. Implements data maintenance processes in business. Measures process adherence Master Data Management: Circulates Data Quality reports at Tiered Meetings Review identified issues, drives for actions MDM Projects Defines and prioritises improvement projects/ migrations. Takes accountability for aligning support and resources from business The Individual Previous experience in a Master Data Management Role, preferably as a team lead. Ideally worked within a large organisation Process Ownership experience. Manufacturing B2B or B2C environment. Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. #J-18808-Ljbffr
Contact Detail:
John Crane Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Master Data Domain Lead
✨Tip Number 1
Familiarise yourself with Master Data Management (MDM) principles and best practices. Understanding the nuances of data governance, quality measures, and KPIs will help you demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals in the MDM field, especially those who have experience in large organisations. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data standards or improved data quality in previous roles. Real-life scenarios will showcase your problem-solving skills and process ownership experience.
✨Tip Number 4
Stay updated on the latest trends and technologies in MDM. Being knowledgeable about current tools and methodologies will not only impress during interviews but also show your commitment to continuous improvement.
We think you need these skills to ace Customer Master Data Domain Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Master Data Management, especially any leadership roles. Use specific examples that demonstrate your ability to define data standards and manage processes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your previous experience aligns with the responsibilities of the Customer Master Data Domain Lead, particularly in MDM Governance and process ownership.
Showcase Your Achievements: When detailing your past roles, focus on quantifiable achievements. For instance, mention any successful projects where you defined KPIs or improved data quality measures, as this will resonate with the hiring team.
Highlight Collaboration Skills: Since the role involves working closely with MDM teams and other stakeholders, emphasise your collaboration skills. Provide examples of how you've successfully worked with cross-functional teams to implement data maintenance processes.
How to prepare for a job interview at John Crane
✨Understand Master Data Management Fundamentals
Make sure you have a solid grasp of Master Data Management (MDM) principles. Be prepared to discuss how you have previously defined data standards and implemented quality measures in your past roles.
✨Showcase Your Leadership Experience
As this role involves team leadership, highlight your previous experience in leading MDM initiatives. Share specific examples of how you've managed teams and driven improvements in data governance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data management and how you resolved them, particularly in a B2B or B2C context.
✨Emphasise Collaboration Skills
Collaboration is key in this role. Be ready to discuss how you've worked with cross-functional teams to implement data maintenance processes and ensure adherence to data quality standards.
