At a Glance
- Tasks: Lead AI implementations and help clients maximise value from AI-driven decisions.
- Company: Top AI solutions provider in the financial sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the AI landscape.
- Qualifications: Experience in AI implementation and strong analytical skills required.
- Other info: Collaborative environment with exciting challenges in financial services.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI solutions provider for financial institutions is seeking an Applied AI Engagement Manager to serve as a strategic partner for enterprise customers. You will guide implementations and ensure clients unlock maximum value from AI-driven decision-making.
Collaborate with cross-functional teams to tackle complex business problems. Ideal candidates have experience in AI implementation, a strong analytical mindset, and knowledge of financial services. Join a dynamic team with opportunities for impact and innovation.
Enterprise AI Engagement Lead employer: Taktile
Contact Detail:
Taktile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engagement Lead
✨Tip Number 1
Network like a pro! Reach out to people in the financial services and AI sectors. Attend industry events, webinars, or even local meetups. You never know who might connect you with your next opportunity!
✨Tip Number 2
Showcase your expertise! Create a portfolio or case studies that highlight your experience in AI implementation. This will not only demonstrate your skills but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and financial services questions. Think about how you've tackled complex business problems in the past and be ready to share those stories. We want to see your analytical mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Enterprise AI Engagement Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Enterprise AI Engagement Lead. Highlight your experience in AI implementation and any relevant projects you've worked on in financial services. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your analytical mindset can help tackle complex business problems. Let us know how you envision collaborating with cross-functional teams.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples that demonstrate how you've unlocked value through AI-driven decision-making in previous roles. We love seeing quantifiable results!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Taktile
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI implementations, especially in the financial sector. Be ready to discuss specific projects you've worked on and how they delivered value. This will show that you’re not just familiar with the concepts but have practical experience.
✨Understand the Business Context
Research the company and its clients thoroughly. Understand the challenges faced by financial institutions when it comes to AI. This will help you tailor your answers to demonstrate how you can be a strategic partner in solving their unique problems.
✨Showcase Your Analytical Skills
Prepare to discuss how you approach complex business problems analytically. Bring examples of how you've used data-driven decision-making in past roles. This will highlight your strong analytical mindset, which is crucial for the role.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to share experiences where collaboration led to successful outcomes. Highlight your communication skills and how you’ve navigated different perspectives to achieve a common goal.