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- Tasks: Lead the strategy and delivery of AI and analytics products from concept to launch.
- Company: Join a global organisation at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping enterprise-level AI strategies and solutions.
- Qualifications: 5-7 years in Product Management with a focus on AI/ML and data-driven products.
- Other info: Collaborate with cross-functional teams and executive leadership in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
We are supporting a global organisation in search of an Analytics & AI Enablement Lead to drive the end-to-end lifecycle of AI and analytics products. This senior role sits at the intersection of AI/ML, data science, product management, and business strategy, translating complex technology into user-focused solutions that deliver measurable business impact.
Key Responsibilities:
- Own strategy, roadmap, and delivery of AI/analytics products from concept to launch
- Collaborate with engineering, data science, and senior stakeholders to prioritise use cases
- Manage agile delivery, backlogs, sprints, MVPs, and beta releases
- Define KPIs, monitor performance, and optimise products using data-driven insights
- Ensure responsible AI practices, addressing bias, fairness, and regulatory requirements
Requirements:
- 5–7+ years in Product Management with AI/ML or data-driven products
- Strong understanding of AI/ML fundamentals (NLP, computer vision, model validation)
- Agile experience (Scrum/Kanban) and backlog management
- Excellent communication skills with ability to influence senior stakeholders
Why Apply:
- Shape enterprise-level AI strategy with visible business impact
- Collaborate with cross-functional teams and executive leadership
- Deliver AI solutions that solve real-world business problems
Confidential discussions available. Apply now to explore this opportunity.
Analytics & AI Enablement Lead in London employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & AI Enablement Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We can’t stress enough how valuable personal connections are when it comes to landing that dream role.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your experience with AI/ML products. We love seeing real-world examples of how you’ve made an impact.
✨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’re always looking for passionate candidates like you!
We think you need these skills to ace Analytics & AI Enablement Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics & AI Enablement Lead. Highlight your experience in product management, AI/ML, and any relevant projects that showcase your skills in delivering data-driven solutions.
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 driven AI/analytics products from concept to launch and how you’ve collaborated with cross-functional teams.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects your ability to convey complex ideas simply. Use clear language and structure to demonstrate how you can influence senior stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Eames Consulting
✨Know Your AI and Analytics Inside Out
Make sure you brush up on your knowledge of AI/ML fundamentals, especially in areas like NLP and computer vision. Be ready to discuss how these technologies can be applied in real-world scenarios, as this will show your understanding of the role's requirements.
✨Showcase Your Product Management Experience
Prepare specific examples from your past roles where you've successfully managed the lifecycle of AI or data-driven products. Highlight your experience with agile methodologies and how you've prioritised use cases to deliver impactful solutions.
✨Communicate Effectively with Stakeholders
Practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. This is crucial for influencing senior leaders and ensuring everyone is aligned on the product strategy.
✨Demonstrate a Data-Driven Mindset
Be ready to discuss how you've used data to define KPIs and optimise product performance in previous roles. Share examples of how you've addressed issues like bias and fairness in AI, as this shows your commitment to responsible AI practices.
