At a Glance
- Tasks: Lead the design and optimisation of cutting-edge data platforms and AI capabilities.
- Company: Global consultancy driving technology transformation with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on collaboration and career advancement.
- Why this job: Shape the future of data and AI while making a real impact in various sectors.
- Qualifications: 6+ years in data architecture, cloud infrastructure, and strong consulting experience.
The predicted salary is between 60000 - 80000 £ per year.
A leading global management and technology transformation consultancy is expanding its Data & AI Strategy practice. The business is currently seeking a Manager and Senior Manager to lead the design, implementation, and optimisation of modern, enterprise-grade data platforms. This position operates at the intersection of business strategy, enterprise architecture, and technical delivery, helping clients build and scale AI capabilities from strategy through to execution.
Key Responsibilities
- Platform Design: Lead the architecture and development of scalable, secure, and cost-efficient platforms to power both operational and analytical workloads using AWS, GCP, or Azure.
- Cloud Transformation: Implement modern hybrid data architectures (such as Snowflake, Databricks, or BigQuery) and direct the migration of legacy systems to cloud-native solutions.
- AI Innovation: Develop Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms to align with client strategic objectives.
- Automation & DevOps: Build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices and Infrastructure-as-Code tools such as Terraform.
- Enterprise Advisory: Shape the vision for enterprise data platforms, developing architecture blueprints, roadmaps, and communication plans for senior stakeholders.
- Business & Practice Development: Contribute to proposals, bids, and proposition development, whilst supporting internal campaigns, training, and recruitment.
Required Profile and Experience
- Consulting Background: A minimum of 6 years of experience in data technologies and architecture, with a proven track record in professional services or management consulting.
- Cloud Infrastructure: A minimum of 6 years of experience designing, implementing, and managing cloud-based architectures (AWS, Azure, or GCP).
- Technical Certifications: Possession of at least three intermediate-level cloud certifications.
- Infrastructure as Code: Proficiency in Terraform, ARM Templates, or Google Deployment Manager, alongside experience with network security and identity management for AI use cases.
- Modern Data Patterns: Strong understanding of ETL/ELT processes and modern architecture patterns, including Data Mesh and Data Fabric.
- Advisory & Commercial Acumen: Experience in project scoping, budgeting, and managing complex senior stakeholder relationships.
- Security Clearance: Active SC clearance, or eligibility for UK security clearance, is mandatory.
- Sector Focus (Desirable): Experience within the UK Public Sector, Banking, Financial Services, Insurance, Retail, Telecoms, or Transport.
Data & AI Architect in England employer: Consulting Point
As a leading global management and technology transformation consultancy, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our Data & AI Strategy practice offers exceptional growth opportunities, allowing employees to lead cutting-edge projects while benefiting from comprehensive training and development programmes. Located in a vibrant city, our team enjoys a supportive environment that values diversity and promotes work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Architect in England
✨Get Involved in Data Science Meetups
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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 Consulting Point.
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We think you need these skills to ace Data & AI Architect in England
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 Consulting Point, 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 Consulting Point. 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 Consulting Point
✨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
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 Consulting Point!
✨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.
