Presales Architect in Nottingham
Presales Architect in Nottingham

Presales Architect in Nottingham

Nottingham Full-Time 57000 - 95000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead pre-sales engagements and design innovative Data & AI solutions for clients.
  • Company: Join a consultancy that drives digital transformation through human intelligence and innovation.
  • Benefits: Enjoy flexible hybrid working, 25 days annual leave, and a free onsite gym.
  • Why this job: Be at the forefront of technology, shaping business strategies and making a real impact.
  • Qualifications: Experience in presales, Data & AI architecture, and cloud platforms is essential.
  • Other info: Casual dress code and perks like free drinks from 2pm to 5pm!

The predicted salary is between 57000 - 95000 £ per year.

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.

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 customer meetings, workshops, and proof-of-concept (PoC) demonstrations.
  • Design scalable and efficient Data & AI architectures, ensuring alignment with customer goals and industry best practices.
  • Develop and present proposals, estimates, and solution roadmaps to customers.
  • Collaborate with internal teams, including sales, delivery, and product teams, to shape go-to-market strategies.
  • Provide guidance on technology selection, data strategy, and AI implementation approaches.
  • Support customers in defining Data & AI transformation roadmaps.
  • Work on project delivery where required, contributing to solution implementation and best practices.
  • Stay up to date with emerging technologies and industry trends in Data, AI, and cloud platforms.
  • Engage with customers throughout the sales and delivery lifecycle, ensuring clear communication and follow-ups.
  • Maintain strong customer relationships by proactively addressing concerns and providing ongoing support.

Duties

  • Engaging in technical discovery sessions with customers.
  • Developing high-level and detailed technical designs.
  • Creating and delivering customer presentations and proposals.
  • Collaborating with marketing and sales teams on go-to-market strategies.
  • Supporting bid management and RFP responses.
  • Providing advisory and thought leadership on Data & AI solutions.
  • Ensuring seamless transition from presales to project delivery.
  • Contributing to internal knowledge sharing and best practice development.
  • Assisting in project execution and implementation when required.
  • Ensuring continuous engagement with customers to track progress and address feedback effectively.
  • Keeping up to date with changes/developments in Data & AI technologies and industry best practices, through self-learning, training and research.

Essential

  • Experience in presales, customer engagement, and proposal development.
  • Experience in Data & AI architecture and solution design.
  • Experience working for a consultancy or agency.
  • Experience with data engineering tools (SQL, Python, Spark).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP).
  • Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake).
  • Ability to translate clients' business needs into technical solutions.
  • Ability to attend & contribute to keynote talks & events.
  • Customer engagement and relationship management skills.
  • Understanding of BI and analytics tools (Power BI, Tableau).

Desirable

  • Experience of Microsoft Fabric.
  • Experience of Microsoft Dynamics.
  • Experience with data governance and compliance frameworks.
  • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, MLflow).
  • Knowledge of Agile and DevOps methodologies.

Benefits

  • 25 Days Annual Leave.
  • Medical Insurance.
  • Flexible Hybrid/Home Working.
  • 5% Employer Contribution Pension.
  • Life Insurance.
  • Cycle2Work.
  • Health Cash-plan.
  • Access to Financial Advisors.
  • Casual Office Dress-code.
  • Maternity Pay.
  • Sickness Pay.
  • Free Onsite Gym.
  • Free Full Barista Service.
  • Free Beer & Fizz from 2pm to 5pm.

NB: for non-UK Citizens: we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are using a work visa this must allow you to work in the UK unrestricted for at least the next 5 years.

Presales Architect in Nottingham employer: Profile 29

As a leading consultancy based in Nottingham, we pride ourselves on fostering a dynamic work culture that prioritises employee growth and innovation. With flexible hybrid working arrangements, competitive salaries, and a comprehensive benefits package including medical insurance and a generous pension scheme, we empower our Presales Architects to thrive both professionally and personally. Join us to be part of a collaborative team that values your expertise in Data and AI, while enjoying unique perks like a casual dress code and onsite amenities.
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Contact Detail:

Profile 29 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Presales Architect in Nottingham

✨Tip Number 1

Familiarise yourself with the latest trends in Data and AI technologies. This role requires you to stay updated, so follow industry leaders on social media and read relevant blogs or publications to enhance your knowledge.

✨Tip Number 2

Engage in networking opportunities within the Data and AI community. Attend meetups, webinars, or conferences to connect with professionals in the field, which can lead to valuable insights and potential referrals.

✨Tip Number 3

Prepare to demonstrate your technical skills during interviews. Be ready to discuss your experience with data engineering tools and cloud platforms, as well as how you've successfully translated business needs into technical solutions.

✨Tip Number 4

Showcase your customer engagement skills by preparing examples of how you've built strong relationships with clients in previous roles. Highlight your ability to communicate complex technical concepts in a way that resonates with non-technical stakeholders.

We think you need these skills to ace Presales Architect in Nottingham

Presales Engagement
Data Architecture Design
AI Solution Development
Customer Relationship Management
Proposal Development
Technical Discovery Sessions
Data Engineering Tools (SQL, Python, Spark)
Cloud Platforms (Azure, AWS, GCP)
Data Platforms (Azure Synapse, Databricks, Snowflake)
Business Needs Translation
BI and Analytics Tools (Power BI, Tableau)
Advisory and Thought Leadership
Agile Methodologies
DevOps Practices
Emerging Technology Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in presales, Data & AI architecture, and customer engagement. Use specific examples that demonstrate your ability to translate business needs into technical solutions.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Data & AI and your understanding of the consultancy landscape. Mention how your skills align with the responsibilities outlined in the job description, particularly in leading pre-sales engagements and designing scalable solutions.

Showcase Technical Skills: In your application, emphasise your hands-on experience with data engineering tools and cloud platforms. Be specific about your proficiency in SQL, Python, Azure, AWS, and any other relevant technologies mentioned in the job description.

Highlight Customer Engagement Experience: Demonstrate your ability to maintain strong customer relationships by providing examples of past experiences where you successfully engaged with clients, addressed their concerns, and contributed to project delivery.

How to prepare for a job interview at Profile 29

✨Understand the Role

Make sure you have a clear understanding of the Data & AI Presales Architect role. Familiarise yourself with the responsibilities, such as leading pre-sales engagements and designing scalable solutions. This will help you articulate how your experience aligns with their needs.

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with data engineering tools and cloud platforms. Highlight specific projects where you've successfully implemented Data & AI solutions, as this will demonstrate your capability to translate business needs into technical solutions.

✨Engage in Customer-Centric Conversations

Since customer engagement is key in this role, practice discussing how you've built and maintained strong relationships with clients. Be ready to share examples of how you've addressed customer concerns and provided ongoing support throughout the sales and delivery lifecycle.

✨Stay Updated on Industry Trends

Research the latest trends in Data, AI, and cloud technologies. Being knowledgeable about emerging technologies will not only impress your interviewers but also show that you're committed to continuous learning and can provide valuable insights to customers.

Presales Architect in Nottingham
Profile 29
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