Data Governance Lead in Hounslow

Data Governance Lead in Hounslow

Hounslow Full-Time 60000 - 80000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead data governance initiatives to transform Heathrow into a digitally advanced airport.
  • Company: Join the team at Heathrow, Britain's busiest airport, driving digital transformation.
  • Benefits: Competitive salary, career development opportunities, and a chance to shape the future of aviation.
  • Other info: Collaborative culture with opportunities to influence senior stakeholders and drive change.
  • Why this job: Make a real impact on data quality and governance in a high-profile environment.
  • Qualifications: Degree in IT or similar, with experience in data management and governance.

The predicted salary is between 60000 - 80000 £ per year.

‘Data Governance Lead’ is a primary role in the Digital Heathrow Programme, looking to transform Britain’s Busiest Airport into one of the world’s most digitally advanced. This role will provide technical understanding to develop the organisation's Data Management capabilities, working closely with the Data Standards and Quality Lead to drive up standards and ultimately Data quality.

Working with both internal teams and 3rd party agencies to ensure that Heathrow adopts industry best practice Data Governance. Working within the broader Solutions team, to lead the definition of the Enterprise Data Model; as well as evangelising the benefits of good Data Stewardship.

Responsibilities
  • Define and maintain Heathrow’s Enterprise Data Model, adopting relevant industry standards and best practices in collaboration with internal teams and external partners.
  • Establish and embed a unified Data Governance framework, including Data Management policies, controls, and compliance with regulatory and data protection requirements.
  • Shape and deliver the roadmap for Data Management maturity, embedding best practice across the organisation, including Reference and Master Data Management.
  • Develop and track Data Quality metrics, ensuring robust measurement, monitoring, and continuous improvement of data across Heathrow systems and processes.
  • Support and assure programme and project delivery by aligning data processes, tooling, and standards with strategy, working closely with Technology, Delivery, and Operations teams.
  • Drive capability and adoption by curating Digital Academy content, fostering strong internal and external relationships, and equipping teams with the knowledge and tools to apply effective Data Governance and data management practices.
Qualifications
  • Degree or equivalent in IT (or similar) subject.
  • Experience of abstracting physical data into conceptual models.
  • Experience of driving best Data Management best practice at an industry level, within an ecosystem of organisations.
  • Experience of practical business change associated with adopting new Governance standards and controls.
  • Experience of the tools and applications used to assess and improve Data Quality.
  • Demonstrable experience of influencing senior stakeholders (Director level and above) to gain initiative buy-in.
  • Experience in running Governance forums at an Enterprise level.
  • Experience in exploiting the Azure tech stack for Data Management.

Ideally, you will also have experience working in a Data Architecture (or similar) role.

Data Governance Lead in Hounslow employer: 慨正橡扯

Heathrow Airport is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the heart of one of the world's busiest transport hubs. As a Data Governance Lead, you will not only play a pivotal role in shaping the future of data management at Heathrow but also benefit from extensive professional development opportunities and a culture that values diversity and inclusion. With a commitment to adopting industry best practices and a focus on employee growth, working at Heathrow means being part of a forward-thinking team dedicated to transforming the airport into a digitally advanced leader in the aviation sector.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance Lead in Hounslow

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 慨正橡扯!

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 Lead at 慨正橡扯.

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 慨正橡扯.

Apply Directly through Our Website

When you find a suitable opening like Data Governance Lead at 慨正橡扯, 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 Lead in Hounslow

Communication Skills
Problem-Solving Skills
Data Governance
Attention to Detail
SQL
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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯

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 慨正橡扯!

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.