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- Tasks: Lead pre-sales engagements and design innovative Data & AI solutions for clients.
- Company: Join a consultancy that drives business value through digital innovation and human intelligence.
- Benefits: Enjoy a competitive salary, annual bonus, flexible hybrid working, and comprehensive health benefits.
- Why this job: Be part of a dynamic team shaping the future of organisations with cutting-edge technology.
- Qualifications: Experience in pre-sales, data architecture, and AI solutions is essential.
- Other info: Work in a flexible environment with opportunities for professional growth.
The predicted salary is between 57000 - 95000 £ per year.
Job: Data/AI Presales Architect (Hybrid Remote + Nottingham)
Salary: to £95k + annual bonus (approx. £20k)
Benefits: Medical, Health, Life, Pension, Gym
Location: Flexible Hybrid working - offices based in Nottingham (1-2 days/week)
Summary
This Consultancy company helps organisations drive business value by defining, executing, and evolving their entire business. They deliver digital value through human intelligence, enabling their customers to innovate and grow. They help to shape today's and tomorrow's organisations from strategy and technology to organisation and leadership.
Role
As their Data & AI Presales Architect you will be responsible for leading pre-sales engagements, supporting sales efforts, and designing modern Data & AI solutions tailored to customer needs. This role bridges business requirements and technical solutions, ensuring that proposed architectures align with best practices, scalability, and business objectives. Additionally, the role includes involvement in project work, contributing to solution implementation and delivery.
Responsibilities
- Lead pre-sales engagements, including...
Presales Architect employer: Profile 29 Careers
Contact Detail:
Profile 29 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Presales Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Data and AI technologies. Being well-versed in current tools and methodologies will not only boost your confidence but also demonstrate your expertise during discussions with potential employers.
✨Tip Number 2
Network with professionals in the Data and AI field. Attend industry events, webinars, or local meetups to connect with others who can provide insights into the role and potentially refer you to opportunities at companies like us.
✨Tip Number 3
Prepare to showcase your problem-solving skills. In interviews, be ready to discuss specific examples where you've successfully designed solutions that align with business objectives, as this is crucial for a Presales Architect role.
✨Tip Number 4
Research our company thoroughly. Understand our mission, values, and recent projects. This knowledge will help you tailor your conversations and show how your skills and experiences align with what we do at StudySmarter.
We think you need these skills to ace Presales Architect
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Data/AI Presales Architect position. Understand the key responsibilities and required skills, so you can tailor your application to highlight relevant experiences.
Tailor Your CV: Customise your CV to reflect your experience in pre-sales engagements and your knowledge of Data & AI solutions. Use specific examples that demonstrate your ability to bridge business requirements with technical solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also outlines how your background aligns with the company's mission of driving business value through digital innovation. Mention any relevant projects or achievements.
Highlight Soft Skills: In your application, emphasise soft skills such as communication, leadership, and problem-solving. These are crucial for a role that involves leading pre-sales engagements and collaborating with various stakeholders.
How to prepare for a job interview at Profile 29 Careers
✨Understand the Role
Make sure you have a clear understanding of what a Data/AI Presales Architect does. Familiarise yourself with the responsibilities and how they align with the company's goals. This will help you articulate your fit for the role during the interview.
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with Data and AI solutions. Highlight specific projects where you've designed or implemented such solutions, and be ready to explain how they met business objectives. This demonstrates your capability to bridge technical and business needs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to lead pre-sales engagements or design solutions under pressure. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to Data and AI, their client base, and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
