At a Glance
- Tasks: Lead the design and delivery of modern data solutions for transformative projects.
- Company: Join a leading global consultancy driving change in technology and data.
- Benefits: Earn up to £90k, enjoy hybrid working, and access great health benefits.
- Other info: Flexible time off and excellent career growth opportunities await you.
- Why this job: Shape the future of AI and data transformation while working with top clients.
- Qualifications: 5+ years in data engineering/architecture with cloud experience.
The predicted salary is between 90000 - 90000 £ per year.
Onsite WORKING
Location
Central London, Greater London - United Kingdom
Type
- Permanent
- Manager - AI & Data Architect | Up to £90k | London
I'm working with a leading global change and transformation consultancy that is growing its Technology & Data practice.
They're looking for a Manager-level AI & Data Architect to lead the design and delivery of modern data solutions, working across complex transformation programmes and directly with senior client stakeholders.
The role will cover
- End-to-end data architecture across ingestion, processing, storage and analytics
- Modern data platforms including Snowflake and Microsoft Fabric
- Data engineering, ETL and scalable data pipelines
- Conceptual, logical and physical data modelling
- Cloud data architecture and integration with legacy platforms
- Data governance, quality, security and compliance
- AI/ML integration, intelligent automation and predictive data solutions
- Data visualisation and translating complex insights into business outcomes
- Architecture governance and technical leadership
They're looking for someone with
- 5+ years' experience across data engineering / architecture
- Strong experience designing and implementing data platforms and pipelines
- Cloud experience across AWS, Azure or GCP
- Strong understanding of modern data architecture and modelling
- Experience with platforms such as Snowflake or Microsoft Fabric
- Experience with Power BI, Tableau, Looker or similar
- Understanding of data governance and AI governance
- Strong advisory and stakeholder management skills, including working with senior / executive audiences
- The ability to bridge technical architecture with wider business strategy
AI experience is particularly relevant, with the team looking at how AI can be embedded into modern data solutions, automation and data quality.
What's on offer
- Up to £90,000 basic salary
- London
- Hybrid working
- Manager-level position with genuine client ownership
- Opportunity to shape modern AI & Data transformation programmes
- Flexible time off
- Private medical plan
- Health cash plan
- Enhanced parental leave
- Workplace savings benefits
- #J-18808-Ljbffr
Data & AI Architect Manager 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.
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We think this is how you could land Data & AI Architect Manager
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We think you need these skills to ace Data & AI Architect Manager
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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How to prepare for a job interview at eFinancialCareers
✨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!
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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.
