At a Glance
- Tasks: Lead the design of innovative data solutions and tackle complex business challenges.
- Company: Join a top consultancy known for its transformative technology and data practices.
- Benefits: Competitive salary, bonus, hybrid working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on cloud, AI, and digital transformation.
- Why this job: Make a real impact in AI and data architecture while collaborating with clients.
- Qualifications: 5+ years in Data Engineering/Architecture with strong consultancy experience.
The predicted salary is between 72000 - 88000 £ per year.
We’re working with a leading change and transformation consultancy that is looking to hire an experienced AI & Data Architect into its Technology & Data practice. This is an excellent opportunity for a Data Architect from a consultancy background who enjoys working directly with clients, solving complex business problems and designing modern, scalable data solutions.
The Role
As a Manager - AI & Data Architect, you’ll take ownership of end-to-end data architecture across complex transformation programmes, working closely with clients, technical teams and senior stakeholders. You’ll be responsible for designing solutions across modern data platforms, cloud, data engineering, analytics and AI, while providing technical leadership and architectural governance.
Key Responsibilities
- Design and architect end-to-end data solutions, from ingestion and processing through to analytics and visualisation.
- Design and oversee scalable data pipelines and ETL processes supporting BI, analytics and data science.
- Develop conceptual, logical and physical data models, including dimensional, relational and Data Vault approaches.
- Design solutions integrating modern and legacy technology platforms.
- Establish architecture best practices around security, scalability, performance and cost optimisation.
- Provide technical leadership, architecture governance and design documentation across data initiatives.
- Develop data quality, governance, metadata and data management frameworks.
- Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality.
- Translate complex technical concepts and data insights into clear recommendations for senior stakeholders.
- Contribute to the development of new architecture approaches, technologies and propositions.
- Work directly with clients to understand their challenges and translate business requirements into practical technology solutions.
What We’re Looking For
- A consultancy background is essential for this position.
- 5+ years' experience in Data Engineering / Data Architecture, with strong experience designing ETL processes, data pipelines and data storage solutions.
- Previous experience working within a technology, data or management consultancy in a client-facing capacity.
- Experience leading data engineering projects, workstreams or technical teams.
- Strong knowledge of cloud data platforms and modern data services.
- Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent.
- Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture.
- Experience with data governance, data quality and metadata management.
- Exposure to AI/ML integration within data solutions and an understanding of AI governance.
- Experience with visualisation platforms such as Power BI, Tableau or Looker.
- Strong SQL and data engineering capabilities.
- Excellent communication and stakeholder management skills, with the ability to engage confidently with senior technical and business stakeholders.
Why Join?
This is an opportunity to join a high-performing Technology & Data consultancy where you’ll have the opportunity to work across data, cloud, AI and digital transformation while having genuine influence over how solutions are designed and delivered. You’ll be working on challenging client engagements, developing new propositions and helping organisations turn complex data challenges into tangible business outcomes.
Please note: sponsorship is not available for this position. Candidates must already have the right to work in the UK.
Manager - AI & Data Architect in London employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - AI & Data Architect in London
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We think you need these skills to ace Manager - AI & 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!
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Craft a Tailored Cover Letter:For a full-time role at eFinancialCareers, 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 eFinancialCareers. 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!
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✨Brush Up on Your Statistics
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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
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✨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.
