Data Management and User Experience Manager in London

Data Management and User Experience Manager in London

London Full-Time 60750 - 74250 £ / year (est.) Home office (partial)
ICE

At a Glance

  • Tasks: Lead the development of user-friendly Tableau solutions and enhance data management processes.
  • Company: Join a leading clearing house in the financial services sector with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with potential to mentor junior team members.
  • Why this job: Make a real impact by transforming data solutions and improving user experiences.
  • Qualifications: Experience in business analysis, data solution development, and strong SQL/Tableau skills.

The predicted salary is between 60750 - 74250 £ per year.

The key objective of the Manager, Data Management and User Experience role is to transform and replace End‑User Developed Applications (EUDAs) with scalable, user‑centric, platform‑based solutions, primarily using Tableau, as well as to build solutions that are not only technically sound but also intuitive, usable, and valuable to end users.

You will work closely with business domain experts in the Risk, Treasury, and Operations teams in ICE Clear Europe, one of the world’s largest clearing houses, to define, manage, and own the data model underpinning core business processes, and build insightful reporting on top of this consolidated data layer. The role requires hands‑on experience across both business analysis and data solution development. Ability to work effectively with stakeholders at different levels while also delivering technical outputs. Acting as a product owner for the full lifecycle of data visualisation, governance and change management of key data sources used across the clearing house. This role will act as a bridge between the business and data layer, delivering solutions that are not only technically correct but also widely adopted and trusted by users. The role requires a willingness to challenge existing approaches and continuously improve them. The successful candidate must be able to turn loosely defined problems into structured, user‑centric solutions and demonstrate strong ownership of deliverables and outcomes.

Responsibilities

  • Lead the end‑to‑end development lifecycle of Tableau solutions
  • Engage with stakeholders to understand business needs and pain points
  • Analyze existing tools (including EUDA‑based solutions)
  • Define functional and data requirements
  • Design and build user‑friendly Tableau dashboards
  • Ensure solutions are designed with a strong focus on end‑user experience, usability, and adoption
  • Translate business problems into clear, scalable, and maintainable data solutions
  • Develop and maintain data flows using Tableau Prep
  • Work extensively with SQL‑based data sources to support reporting and analytics needs
  • Drive the transition from EUDA‑based processes to governed, platform‑based solutions
  • Own and contribute to data governance and change management processes for core data sources
  • Collaborate with cross‑functional teams including Risk, IT, and Data teams
  • Apply a flexible SDLC approach: Operate in agile mode when rapid iteration is required and utilize structured analysis and detailed documentation when appropriate
  • Ensure data accuracy, consistency, and reliability across all deliverables
  • Contribute to improving data governance standards and practices within the team
  • Potentially support or manage junior team members over time

Knowledge and Experience

  • Hands‑on experience across both business analysis (stakeholder engagement, requirements gathering) and data solution development (data preparation and dashboard delivery)
  • Solid understanding of coding principles, data structures, and logic
  • Ability to read and understand code is essential
  • Strong working knowledge of SQL, Tableau (Desktop), and Tableau Prep
  • Experience working with or replacing End‑User Developed Applications (EUDAs)
  • Strong focus on user experience, with the ability to design solutions that are intuitive and fit for purpose
  • Ability to communicate effectively with stakeholders at all levels
  • Flexible mindset with the ability to switch between fast‑paced, iterative delivery and more structured analysis and documentation

Preferred Knowledge and Experience

  • Experience in financial services / fintech, particularly within a clearing house or similar environment
  • An understanding of financial services concepts such as margin requirements, treasury operations, risk management, collateral processes, regulatory reporting, portfolio analysis, and margin models
  • Exposure to data platforms, data pipelines, or risk systems
  • Development experience in Excel VBA and Python

Data Management and User Experience Manager in London employer: ICE

At ICE, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge AI technologies in a dynamic environment. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere that empowers our team to excel in their roles.

ICE

Contact Details:

ICE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Management and User Experience 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 ICE!

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 and User Experience Manager at ICE.

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 ICE.

Apply Directly through Our Website

When you find a suitable opening like Data Management and User Experience Manager at ICE, 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 and User Experience Manager in London

Tableau
SQL
Data Analysis
User Experience Design
Stakeholder Engagement
Data Governance
Agile Methodologies

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 ICE, 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 ICE. 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 ICE

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 ICE!

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.