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For Companies At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join EY, a global leader in consulting with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Shape the future with cutting-edge technology and make a real impact on businesses.
- Qualifications: STEM degree and advanced AI/data architecture certifications required.
The predicted salary is between 70000 - 90000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
About the Role
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.
Your client impact
- Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data pipeline, 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 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.
- Lead architecture review boards and provide technical governance throughout project lifecycles.
- Oversee the implementation of data lakes, data warehouses, and lakehouse architectures.
- Ensure solutions are optimized for performance, cost-efficiency, and scalability.
- Define integration patterns between cloud platforms, third-party applications, and legacy systems.
- Actively contribute to practice development as a technical thought leader in AI and Data topics.
- 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 Advanced level 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 lead design for end to end AI and data solutions across multiple cloud platforms.
- Able to define governance frameworks, security protocols and compliance standards.
- Operates as a trusted advisor to IT and senior stakeholders.
- Deep 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.
- Exceptional communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem-solving capabilities.
- Ability to manage multiple client engagements simultaneously.
- 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 preparing 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.
- Deep 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.
Senior Manager, AI & Data Solution Architect, TC UKI in Manchester employer: FP&A
Contact Detail:
FP&A Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, AI & Data Solution Architect, TC UKI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at EY. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. We want to hear how your past experiences align with the role of Senior Manager, AI & Data Solution Architect. Make it relatable and engaging!
✨Tip Number 3
Showcase your expertise! Bring along examples of your previous work with AI and data solutions. Whether it's a project or a case study, having tangible evidence of your skills can really impress the interviewers.
✨Tip Number 4
Don’t forget to apply 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 Senior Manager, AI & Data Solution Architect, TC UKI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Manager role. Highlight your expertise in AI and data solutions, especially any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've bridged business needs with technical execution in previous positions.
Showcase Your Technical Skills: Don’t shy away from detailing your technical proficiencies. Mention your experience with cloud platforms like Azure, AWS, or GCP, and any certifications you hold in Snowflake or Databricks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at FP&A
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI and data solutions mentioned in the job description, like Azure, AWS, Snowflake, and Databricks. Brush up on your knowledge of cloud-native architectures and be ready to discuss how you've implemented these technologies in past projects.
✨Prepare for Technical Discovery Sessions
Since you'll be leading technical discovery sessions, practice articulating complex technical concepts clearly. Think about how you can translate business challenges into architectural requirements, and prepare examples from your experience that showcase your ability to bridge the gap between tech and business.
✨Showcase Your Leadership Skills
As a Senior Manager, you’ll need to demonstrate your leadership capabilities. Be prepared to discuss how you've mentored junior architects or led cross-functional teams. Highlight any experiences where you’ve influenced senior stakeholders or contributed to practice development.
✨Understand Industry-Specific Challenges
Familiarise yourself with the specific data challenges faced by industries like health, retail, and energy. Prepare to discuss relevant use cases and how your solutions have addressed these challenges in the past. This will show that you not only understand the technology but also the context in which it operates.