At a Glance
- Tasks: Lead the enterprise Data Quality strategy and drive measurable improvements.
- Company: Join a forward-thinking organisation focused on data-driven innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a culture of data ownership and excellence.
- Why this job: Shape the future of data quality and influence change across the organisation.
- Qualifications: Proven experience in Data Quality and strong stakeholder management skills.
The predicted salary is between 63000 - 77000 £ per year.
Shape the future of Data Quality. We’re looking for an experienced Data Quality Lead to take ownership of enterprise Data Quality strategy and help build the foundations for a more data-driven and AI-ready organisation. This is a senior opportunity for someone who understands Data Quality at enterprise scale and can turn strategy into practical, measurable improvements across people, processes and technology. You’ll work closely with senior business and technology stakeholders, influence change and help embed quality into the way data is created, managed and used.
What you’ll be doing:
- Own and deliver the enterprise Data Quality strategy, roadmap and vision.
- Build and mature Data Quality capabilities across people, process and technology.
- Establish effective Data Quality frameworks, rules, controls, monitoring and issue management.
- Embed Data Quality into data migrations, integrations and transformation programmes.
- Lead the adoption and use of Collibra and Databricks Unity Catalog.
- Improve data monitoring, reporting and preventative controls, with a focus on quality at source.
- Partner with Data Owners, Data Stewards, technology teams and business stakeholders to resolve complex data issues.
- Translate business, risk and regulatory requirements into practical Data Quality solutions.
- Act as a senior escalation point for Data Quality challenges and provide expert guidance across the organisation.
- Lead, coach and develop Data Quality specialists while building a strong culture of data ownership.
What you’ll bring:
- Proven experience within an established enterprise Data Quality function.
- A strong track record of developing and delivering Data Quality strategies and roadmaps.
- Extensive experience with Data Quality frameworks, rules, controls, monitoring and issue management.
- Experience delivering Data Quality capabilities across large or complex organisations.
- Proven experience embedding Data Quality into migrations, integrations and transformation programmes.
- Strong understanding of Data Governance and trusted data.
- Hands-on experience with Collibra, Databricks Unity Catalog or comparable tooling.
- Experience with modern cloud data platforms, particularly AWS and/or Azure.
- Excellent stakeholder management skills, with the confidence to influence senior business and technology leaders.
- Experience leading and developing Data Quality professionals.
- The ability to communicate complex technical concepts clearly and turn them into practical, business-focused solutions.
Data Quality Lead - Hybrid in Southampton employer: Proactive Appointments
Proactive Appointments is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration in the Financial Services sector. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, all while enjoying the flexibility of a hybrid working model. Our supportive culture encourages teamwork and values each individual's contributions, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Lead - Hybrid in Southampton
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We think you need these skills to ace Data Quality Lead - Hybrid in Southampton
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 Proactive Appointments, 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 Proactive Appointments. 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 Proactive Appointments
✨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 Proactive Appointments!
✨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.
