At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join a forward-thinking consulting practice in Manchester with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and mentorship.
- Why this job: Make a real impact by architecting scalable solutions that drive business value.
- Qualifications: STEM degree and AI/data architecture certifications required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value.
Impact you deliver for our clients:
- Design and architect end-to-end AI and data solutions on Azure or AWS or Google GCS, leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data pipeline, storage, analytics, and AI/ML capabilities.
- Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations.
- Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements.
- Serve as the trusted technical advisor in a specific area to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries.
- Present complex technical concepts and solution roadmaps to both technical and non-technical audiences.
- Contribute to architecture review boards and input to technical governance throughout project lifecycles.
- Deliver the implementation of data lakes, data warehouses, and lakehouse architectures.
- Ensure solutions are optimised for performance, cost-efficiency, and scalability.
- Define integration patterns between cloud platforms, third-party applications, and legacy systems.
- Understanding of building and integrating Agentic AI solutions into existing cloud platforms.
- Mentor junior architects and technical teams on best practices and emerging technologies.
Essential Qualifications:
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field.
- One or more AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP.
Essential Criteria:
- Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences.
- Able to contribute to the design of end-to-end AI and data solutions across multiple cloud platforms.
- Contribute to governance frameworks, security protocols and compliance standards.
- Expertise in at least one of the following data and AI services: Microsoft Azure, AWS, Google GCP.
- Hands-on experience with Microsoft Fabric, Snowflake and/or Databricks.
- TOGAF experience.
Soft Skills:
- Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies.
- Strong communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem-solving capabilities.
- Ability to manage or lead client engagements.
- Collaborative mindset with experience working in cross-functional teams.
- Coaching mindset to support the development of junior team members.
Preferred Criteria:
- Understanding of AI Architecture front end, UI/UX, and how AI is consumed.
- Experience of contributing to technical solutions and architectures as part of bid responses and proposals.
- Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation.
- Experience or understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry.
- Experience with domain-specific use cases such as commercial, supply chain, finance or operations.
Manager, AI & Data Solution Architect | Manchester employer: 慨正橡扯
Join our dynamic team in Manchester as a Manager, AI & Data Solution Architect, where innovation meets collaboration. We pride ourselves on fostering a culture of continuous learning and professional growth, offering comprehensive training and mentorship opportunities to help you excel in your career. With a focus on cutting-edge technology and a commitment to delivering impactful solutions for our clients, we provide an engaging work environment that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI & Data Solution Architect | Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and data solutions. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI and data architecture. Whether it's a GitHub repository or a personal website, let your work speak for itself. This is your chance to impress potential employers with your hands-on experience!
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and data solutions. Be ready to discuss your past experiences and how they relate to the role. Remember, confidence is key, so show them you’re the right fit!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Manager, AI & Data Solution Architect | Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI and data solutions, especially if you've worked with Azure, AWS, or Google GCS. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Manager role. Share specific examples of your past projects and how they align with what we do at StudySmarter. Let your personality come through!
Showcase Your Technical Skills:Don’t shy away from listing your technical certifications and hands-on experience with tools like Snowflake and Databricks. We love seeing candidates who are up-to-date with the latest technologies and can bridge the gap between business needs and tech solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure, AWS, and Snowflake. Brush up on your knowledge of data pipelines, AI/ML capabilities, and cloud-native architectures so you can confidently discuss how you've applied these in past projects.
✨Prepare Real-World Examples
Think of concrete examples from your previous work that showcase your experience in architecting enterprise-scale solutions. Be ready to explain how you tackled business challenges and translated them into technical requirements, as this will demonstrate your strategic thinking and problem-solving skills.
✨Practice Your Presentation Skills
Since you'll need to present complex concepts to both technical and non-technical audiences, practice explaining your ideas clearly and concisely. Use simple language and avoid jargon where possible, so everyone can follow along. This will show your strong communication skills and ability to influence stakeholders.
✨Show Your Collaborative Spirit
Highlight your experience working in cross-functional teams and mentoring junior members. Be prepared to discuss how you’ve contributed to team success and supported others in their development. This will reflect your collaborative mindset, which is essential for this role.
