At a Glance
- Tasks: Lead data quality management and drive improvements across a major financial services organisation.
- Company: Join Lloyds Banking Group, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, hybrid working options, and a commitment to diversity and inclusion.
- Other info: Collaborative team environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact on data quality and help shape better decision-making.
- Qualifications: Experience in data quality, governance, and strong analytical skills required.
The predicted salary is between 44901 - 49890 £ per year.
Data quality sits at the heart of better decision‑making, stronger customer outcomes and effective risk management.
We're looking for a Data Management - Assistant Manager to join the Data Governance team within Business & Commercial Banking's (BCB) Chief Controls Office.
About this opportunity:
This is an opportunity to play a key role in driving improvements to how we identify, measure, manage and remediate data quality issues across one of the UK's largest financial services organisations. We work with business areas, Platforms and Group teams to help ensure that data is accurate, complete, reliable and fit for purpose. From supporting the resolution of complex data issues to strengthening controls, dashboards and quality monitoring, this role offers the chance to influence how data is managed across a wide range of business activities.
You'll be joining a supportive and collaborative team that values curiosity, continuous improvement and practical problem-solving. If you enjoy getting to the root cause of issues, working across organisational boundaries and helping colleagues make better decisions using trusted data, this could be the role for you.
For the right person, this role offers the opportunity to immerse yourself in the fascinating world of data quality, controls, remediation and continuous improvement.
What you’ll be doing:
- Leading the oversight and management of Data Quality issues, ensuring risks are identified, prioritised and remediated effectively.
- Partnering with business and technology teams to drive accountability, challenge progress and support the delivery of sustainable solutions.
- Investigating data quality concerns, identifying root causes and coordinating remediation activity to improve data accuracy and integrity.
- Supporting the delivery of the Group's PRA Commitments through effective Data Quality management, issue resolution and control enhancement.
- Monitoring and reporting on Data Quality performance, providing clear insight into risks, trends and remediation progress.
- Promoting strong Data Quality and Data Management practices across Business & Commercial Banking, helping to embed ownership and accountability.
- Providing subject matter expertise on Data Quality controls, governance and issue management within a critical risk and control function.
- Contributing to the successful delivery of regulatory and governance outcomes by ensuring remediation plans remain on track and business areas meet their commitments.
What you’ll need:
- Experience working within Data Quality, Data Governance, Data Controls or a related field in a financial services organisation.
- Experience identifying, analysing and resolving data issues, including root cause analysis, remediation planning and issue management.
- Experience designing, operating or overseeing Data Quality controls, monitoring, profiling or data assurance activities.
- Strong partner management skills, with experience partnering across business and technology teams to drive accountability and deliver outcomes.
- Experience producing and presenting data, risk, control or governance reporting, translating complex information into clear insights for colleagues.
It would also be useful if you had:
- Experience with Data Quality tooling such as Attacama, Informatica, Collibra, Alation or similar platforms.
- Experience managing Data Quality, Data Management or control issues through formal governance and remediation processes.
- Experience working within Financial Services or another highly regulated industry.
- Knowledge of Data Governance frameworks, Critical Data Elements (CDEs), Data Controls, Data Lineage or regulatory data requirements.
- Understanding of risk and control frameworks, and how data‑related risks are identified, assessed and mitigated.
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture.
Data Management - Assistant Manager in Manchester employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Management - Assistant Manager in Manchester
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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 Management - Assistant Manager at PVH (Tommy Hilfiger/Calvin Klein).
✨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 PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like Data Management - Assistant Manager at PVH (Tommy Hilfiger/Calvin Klein), 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 Management - Assistant Manager in Manchester
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 PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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.
