Data Governance and MDM Manager in London

Data Governance and MDM Manager in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
International Schools Partnership

At a Glance

  • Tasks: Lead the development of Master Data Management and Data Governance capabilities.
  • Company: Join a forward-thinking organisation focused on data excellence.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to innovate and improve data practices.
  • Why this job: Shape the future of data management and make a real impact in the organisation.
  • Qualifications: Experience in Data Governance and MDM, with strong stakeholder engagement skills.

The predicted salary is between 70000 - 90000 £ per year.

Purpose of the role

The Data Governance and MDM Manager will lead the development and implementation of the organisation's Master Data Management (MDM) and Data Governance capabilities, ensuring critical organisational data is trusted, well-managed and fit for purpose. The role will act as the primary conduit between business stakeholders and technical delivery teams, translating business needs into practical data solutions and communicating complex technical concepts in a way that supports effective decision-making. Working across technology, data, architecture and business functions, the role will define and implement an appropriate MDM operating model, establish governance processes and support the delivery of trusted master data domains across the organisation. The successful candidate will combine strategic thinking, stakeholder engagement and hands-on delivery experience to help shape the organisation's long-term data foundations.

Reports to: Group Head of Delivery & Portfolio

Key Responsibilities

  • Data Governance
    • Develop and embed a pragmatic Data Governance Framework.
    • Establish data ownership, stewardship and accountability models.
    • Define and maintain data standards, policies, principles and governance processes.
    • Facilitate Data Governance forums and support decision-making across business and technology functions.
    • Maintain critical business definitions, metadata and governance artefacts.
    • Support governance of organisational KPIs and reporting metrics.
  • Master Data Management Strategy and Delivery
    • Define and maintain the organisations Master Data Management strategy, roadmap and operating model.
    • Lead the assessment and selection of appropriate MDM approaches, patterns and technologies.
    • Facilitate workshops with business and technical stakeholders to elicit and document master data requirements.
    • Define and maintain master data domains, hierarchies, matching rules, survivorship rules and golden record approaches.
    • Partner with Architecture, Data Engineering, and Insight teams to design and implement MDM capabilities.
    • Evaluate platform-native capabilities and dedicated MDM solutions, providing recommendations based on organisational requirements.
    • Support implementation of MDM capabilities within modern cloud data platforms and analytics environments.
    • Ensure master data solutions remain aligned to organisational priorities and future business needs.
  • Data Quality & Stewardship
    • Establish data quality standards, controls and monitoring processes.
    • Identify and resolve root causes of data quality issues.
    • Work with business stakeholders to improve data stewardship and accountability.
    • Develop metrics and reporting to monitor data quality performance and adoption of governance practices.
    • Support ongoing management of master data and data quality improvement initiatives.
  • Stakeholder Engagement & Communication
    • Act as the primary bridge between business stakeholders, senior leadership and technical delivery teams.
    • Translate business requirements into technical solutions and technical concepts into business language.
    • Support executive decision-making by presenting options, trade-offs, risks and recommendations.
    • Build strong relationships across business, technology and data communities.
    • Drive understanding and adoption of governance and MDM practices throughout the organisation.
    • Provide coaching and guidance to data owners, stewards and project teams.
  • Continuous Improvement
    • Identify opportunities to improve data management capabilities, processes and operating models.
    • Stay current with industry best practices and emerging trends in MDM, Data Governance and Data Management.
    • Contribute to broader data strategy, architecture and transformation initiatives.

Skills

Essential

  • Strong understanding of Master Data Management principles, methodologies and implementation approaches.
  • Experience defining and implementing MDM operating models and governance frameworks.
  • Ability to facilitate workshops and requirements gathering sessions with both technical and non-technical stakeholders.
  • Strong stakeholder management and influencing skills.
  • Ability to communicate effectively with executive, business and technical audiences.
  • Experience translating business requirements into technical solutions.
  • Strong analytical and problem-solving skills.
  • Excellent written, verbal and presentation skills.
  • Ability to operate effectively in ambiguous and evolving environments.

Desirable

  • Experience implementing MDM capabilities within modern cloud data platforms.
  • Understanding of data architecture, integration patterns and data engineering principles.
  • Experience with identity resolution, matching algorithms and golden record management.
  • Experience with data cataloguing, metadata management and data quality tooling.
  • Knowledge of education, multi-site or international operating environments.

Qualifications and Experience

Essential

  • Proven experience delivering Data Governance capabilities and/or Master Data Management.
  • Experience contributing to the selection, design or implementation of MDM solutions.
  • Experience working across business and technical teams to define and deliver data management capabilities.
  • Demonstrable experience influencing senior stakeholders and facilitating decision-making.
  • Experience operating within complex transformation or data programmes.
  • Experience with MDM technologies and tooling.

Desirable

  • Experience with modern cloud platforms such as Databricks, Snowflake, Azure or AWS.
  • DAMA CDMP, DCAM or equivalent Data Management certification.
  • Experience supporting enterprise-wide data transformation initiatives.

Data Governance and MDM Manager in London employer: International Schools Partnership

As a leading organisation in data management, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our Data Governance and MDM Manager will benefit from comprehensive professional development opportunities, competitive remuneration, and a supportive environment that values strategic thinking and stakeholder engagement. Located in a vibrant area, our team enjoys a dynamic workplace that encourages continuous improvement and embraces the latest industry trends.

International Schools Partnership

Contact Details:

International Schools Partnership Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance and MDM Manager in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like International Schools Partnership!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Governance and MDM Manager at International Schools Partnership.

Leverage Professional Networks

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 International Schools Partnership.

Apply Directly through Our Website

When you find a suitable opening like Data Governance and MDM Manager at International Schools Partnership, 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 Data Governance and MDM Manager in London

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Data Governance
Automation
Data Engineering

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 International Schools Partnership, 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 International Schools Partnership. 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 International Schools Partnership

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 International Schools Partnership!

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.