At a Glance
- Tasks: Shape enterprise data strategy and design scalable data solutions.
- Company: Dynamic organisation in London with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Engage with senior leaders and promote best practices in data governance.
- Why this job: Influence data management and drive innovation in a complex environment.
- Qualifications: Experience as a Business Data Architect and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
- Business Data Architect | London | Hybrid
- We're looking for an experienced
Business Data Architect to play a key role in shaping enterprise data strategy, business architecture and organisational change.
This is an opportunity to influence how data is managed, governed and leveraged across a large, complex organisation.
- What you'll be doing
- Lead the development of the business data architecture, ensuring alignment with business and data strategy.
- Partner with business, technology and data teams to design scalable, future-proof data solutions.
- Apply business architecture and modelling techniques to improve processes, capabilities and decision making.
- Identify opportunities to drive innovation, operational efficiency and business transformation through data.
- Support the design of business applications and system integration solutions.
- Act as the bridge between business and technology, translating requirements into practical solutions.
- Promote best practice in data governance, architecture and change management.
- Engage with senior stakeholders to influence strategy and drive successful delivery.
What we're looking for
- Proven experience as a Business Data Architect, Business Architect or Enterprise Data Architect.
- Strong knowledge of business architecture frameworks, modelling techniques and data governance.
- Experience delivering business and technology change programmes.
- Excellent stakeholder management and communication skills, with the ability to influence at all levels.
- Strong analytical and problem-solving abilities with a commercial mindset.
- Experience within Financial Services or Insurance is advantageous.
- TOGAF, ITIL or equivalent architecture certifications are desirable.
- #J-18808-Ljbffr
Business Data Architect in London employer: Eames Consulting
Join a well-respected syndicate that values expertise and fosters a collaborative work culture, making it an excellent employer for Senior Claims Adjusters. With a focus on employee growth and development, you will have the opportunity to manage a diverse portfolio of complex claims while working alongside industry leaders in a dynamic London Market environment. Enjoy competitive benefits and a supportive atmosphere that encourages professional advancement and meaningful contributions to the team.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Architect 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 Eames Consulting!
✨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 Business Data Architect at Eames Consulting.
✨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 Eames Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Business Data Architect at Eames Consulting, 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 Business Data Architect in London
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 Eames Consulting, 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 Eames Consulting. 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 Eames Consulting
✨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 Eames Consulting!
✨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.
