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- Tasks: Shape the future of AI by defining and implementing impactful strategies for clients.
- Company: Join an award-winning boutique consultancy known for innovation and a great work culture.
- Benefits: Enjoy flexible working options, travel opportunities, and quarterly team gatherings.
- Why this job: Be at the forefront of AI innovation while collaborating with diverse stakeholders.
- Qualifications: 3-5 years in data consulting with strong analytical and stakeholder management skills required.
- Other info: This role is not technical; ideal for those passionate about AI strategy and business impact.
The predicted salary is between 43200 - 72000 £ per year.
We have a fantastic opportunity to join an award winning Data & AI boutique consultancy which continues to scale. This firm has won multiple awards both for innovation in the AI space, as well as for its culture and working environment. They are looking for a consultant or senior consultant level candidate to help shape the future of data and AI by working with clients to define and implement AI strategies that drive real business impact.
Key responsibilities will include:
- Engage stakeholders to understand their data & AI needs and ensure alignment with strategic business goals
- Create and manage roadmaps for the development and deployment of AI solutions
- Evaluate and recommend technologies that enhance data capabilities in line with business needs
- Running client-facing workshops focused on GenAI use-case discovery and prioritisation
The ideal candidate will come from a data & AI consulting background, and have strong stakeholder management skills. You will also need strong analytical thinking and problem solving skills and be able to identify and address complex data challenges, designing practical, scalable solutions that create value.
From an AI perspective you will need the following experience:
- Commercial awareness of where GenAI can drive value across business functions
- Capability to assess GenAI readiness across data infrastructure, talent, governance, and culture
- Strong understanding of GenAI solution types and when to recommend them (e.g. assistants, summarisation, generation)
- Familiarity with the strengths and limitations of major GenAI platforms (Azure OpenAI, AWS Bedrock, open-source LLMs)
- Proficiency in building indicative cost models and advising on ways to optimise usage and spend
- Solid grasp of AI ethics, legal frameworks, and compliance considerations, including UK and EU guidelines
This person can be based anywhere in the UK, but there will be travel for client workshops etc. There would also be times when all the team get together, but likely only once a quarter.
This is a fantastic opportunity to join this rapidly growing, award winning consulting firm in a role at the cutting edge of AI innovation.
AI Consultant - Award-Winning Data Consultancy - AI Strategy employer: Milburn Lewis
Contact Detail:
Milburn Lewis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant - Award-Winning Data Consultancy - AI Strategy
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data consultancy. Understanding the current landscape will help you engage effectively with stakeholders and demonstrate your knowledge during discussions.
✨Tip Number 2
Network with professionals in the AI and data consultancy space. Attend industry events or webinars to connect with potential colleagues and clients, which can provide insights into what the consultancy is looking for.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully managed stakeholder relationships and implemented AI strategies in previous roles. This will showcase your experience and problem-solving skills.
✨Tip Number 4
Stay updated on GenAI technologies and their applications across various business functions. Being able to speak knowledgeably about these solutions will set you apart as a candidate who understands the value they can bring.
We think you need these skills to ace AI Consultant - Award-Winning Data Consultancy - AI Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data consulting and AI strategy. Focus on specific projects where you've engaged stakeholders, created roadmaps, or led workshops. Use quantifiable achievements to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your understanding of GenAI and stakeholder management skills. Be sure to mention any relevant awards or recognitions you've received.
Showcase Relevant Experience: When detailing your work experience, emphasise your analytical thinking and problem-solving skills. Provide examples of how you've addressed complex data challenges and designed scalable solutions that create value for clients.
Research the Company Culture: Since the consultancy values its culture, take some time to understand their working environment. Mention in your application how you align with their values and how you can contribute positively to their team dynamics.
How to prepare for a job interview at Milburn Lewis
✨Understand the Company Culture
Before your interview, take some time to research the company's culture and values. Since this consultancy has won awards for its working environment, demonstrating that you align with their culture can set you apart from other candidates.
✨Showcase Your Stakeholder Management Skills
Prepare examples from your past experience where you've successfully engaged stakeholders. Highlight how you understood their needs and aligned them with strategic goals, as this is a key responsibility in the role.
✨Demonstrate Analytical Thinking
Be ready to discuss complex data challenges you've faced and how you approached solving them. This will showcase your analytical thinking and problem-solving skills, which are crucial for the position.
✨Familiarise Yourself with GenAI Solutions
Brush up on your knowledge of GenAI solution types and their applications. Be prepared to discuss how these solutions can drive value across business functions, as well as your understanding of the strengths and limitations of major platforms.
