At a Glance
- Tasks: Lead MDM initiatives and collaborate on scalable solutions across various data domains.
- Company: Join a forward-thinking company focused on data excellence and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and lead diverse teams.
- Why this job: Make a significant impact by shaping data governance and quality practices.
- Qualifications: Strong expertise in Informatica MDM and hands-on experience with data quality tools.
The predicted salary is between 69750 - 85250 £ per year.
- Lead MDM initiatives across Customer Product Vendor and Reference Data domains
- Define MDM architecture data standards governance processes and implementation roadmaps
Collaborate with business stakeholders to translate business requirements into scalable MDM solutions
- Establish enterprisewide master data management best practices
- Data Governance Quality
- Define and implement Data Governance frameworks and stewardship processes
- Establish data quality metrics monitoring mechanisms and remediation processes
- Drive data profiling cleansing deduplication and survivorship rule implementation
- Ensure compliance with data management policies and standards
- Solution Design Implementation
- Design and implement Informatica MDM solutions including
- Data Director
- Data Quality IDQ
- Reference 360 Customer 360 Cloud MDM
- Technical Leadership
- Provide architectural guidance and technical direction to development teams
- Conduct design reviews code reviews and performance optimization activities
- Mentor junior developers and technical leads
- Resolve complex data integration and data quality issues
- Stakeholder Program Management
- Work with business architecture and delivery teams across multiple geographies
- Conduct requirement workshops and solution demonstrations
- Manage project risks dependencies and delivery milestones
- Provide regular status updates to leadership and stakeholders
- Required Skills
- Technical Skills
- Strong expertise in Informatica MDM 10 years preferred
- Handson experience with
- Informatica Data Quality IDQ
- Strong SQL and data modeling skills
- Experience with ETL data integration APIs and messaging platforms
- Knowledge of Master Data domains
- Customer
- Product
- Data Management Expertise
- Data Governance
- Metadata Management
- Data Quality Frameworks
- Data Stewardship Processes
- Data Lineage Data Catalog Concepts
- Leadership Skills
- Team management and mentoring experience
- Ability to manage multiple workstreams
- Strong analytical and problemsolving skills
- #J-18808-Ljbffr
MDM Strategy Solution in London employer: Net2Source (N2S)
Net2Source (N2S) is an exceptional employer located in Basildon, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from ongoing professional development opportunities and a supportive environment that values their contributions, making it an ideal place for those looking to grow their careers in data warehousing and ETL solutions.
StudySmarter Expert Advice🤫
We think this is how you could land MDM Strategy Solution in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace MDM Strategy Solution in London
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 Net2Source (N2S), 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 Net2Source (N2S). 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 Net2Source (N2S)
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Net2Source (N2S)!
✨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.
