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For Companies At a Glance
- Tasks: Lead AI strategy and deliver impactful data initiatives for clients.
- Company: Dynamic consultancy in London focused on AI and data transformation.
- Benefits: 20% bonus, private medical cover, flexible time off, and career progression.
- Why this job: Shape the future of AI while mentoring talented consultants and driving real change.
- Qualifications: 5+ years in AI or data roles with strong leadership and communication skills.
- Other info: Join a growing team with opportunities for innovation and thought leadership.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (with regional travel as required)
We are looking for an experienced Data & AI Senior Manager to lead and deliver high-impact AI and data initiatives for clients undergoing complex transformation. This role combines hands-on technical leadership with business development, helping organisations move from strategy to real-world, measurable outcomes.
You’ll play a key role in shaping AI strategy, driving adoption and governance, and delivering scalable AI solutions across cloud and modern data platforms. Working with senior stakeholders and multidisciplinary teams, you’ll help clients unlock value from AI while developing and mentoring high-performing consultants.
What You’ll Be Doing
- Leading AI strategy, design, and implementation engagements with a strong focus on business value
- Architecting AI solutions across cloud and modern data platforms (AWS, Azure, GCP, Databricks, Snowflake)
- Driving AI adoption, governance, and responsible AI frameworks
- Translating complex AI concepts into clear, compelling recommendations for technical and non-technical stakeholders
- Running discovery workshops to define requirements and shape scalable AI solutions
- Providing hands-on technical leadership across the full AI lifecycle
- Supporting business development through opportunity identification, proposal development, and client relationships
- Mentoring and developing consultants across multi-disciplinary and multi-location teams
- Contributing to AI thought leadership, innovation, and internal capability building
What We’re Looking For
- Bachelor’s degree (or equivalent) in Computer Science, Data Science, AI, or a related field
- 5+ years’ experience in AI, data science, data architecture, or related roles
- Proven experience leading AI initiatives from concept to delivery with clear business outcomes
- Strong knowledge of cloud platforms and AI/ML services
- Experience designing AI governance and responsible AI frameworks
- Hands-on experience with modern AI/ML tools, frameworks, and methodologies
- Strong stakeholder management and communication skills
- Experience leading and developing consulting teams
- Commercial acumen with experience supporting sales and practice growth
What’s on Offer
- 20% bonus
- Comprehensive benefits package including private medical cover, health cash plan, pension, and flexible time off
- Clear progression opportunities within a growing Data & AI practice
Data & AI Consultant employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with people in the Data & AI space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your projects, case studies, and any relevant work you've done. This gives you a chance to demonstrate your expertise in AI and data solutions.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data strategy. Be ready to discuss your past experiences and how they align with the role. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data & AI Consultant. Highlight your experience with AI initiatives and cloud platforms like AWS or Azure, and don’t forget to showcase your leadership skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data, and how your background makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Achievements: When detailing your experience, focus on specific projects where you led AI initiatives or drove business value. Numbers and outcomes speak volumes, so don’t shy away from sharing measurable results!
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 this exciting opportunity in our growing Data & AI practice!
How to prepare for a job interview at Anson McCade
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and data science. Be ready to discuss specific tools like AWS, Azure, or GCP, and how you've used them in past projects. This shows you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, prepare examples of how you've successfully guided others in previous roles. Think about times when you drove a project from concept to delivery and how you managed stakeholder expectations along the way.
✨Communicate Clearly
You’ll need to translate complex AI concepts for both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the business value they delivered. This will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in AI strategy or governance. Think through potential scenarios and how you would approach them, highlighting your problem-solving skills and strategic thinking.
