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For Companies At a Glance
- Tasks: Identify AI opportunities and analyse workflows to enhance productivity.
- Company: Dynamic company in London with a focus on AI innovation.
- Benefits: Hybrid work model, competitive salary, and professional development opportunities.
- Why this job: Be at the forefront of AI delivery and make a real impact.
- Qualifications: Expertise in AI platforms, strong analytical skills, and experience in regulated environments.
- Other info: Collaborative culture with opportunities for continuous improvement and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (hybrid). Employment Type: Permanent, Full-time.
Role purpose
Provide the foundation for AI delivery: identifying where AI creates genuine value, monitoring, proving and recommending course corrections when initiatives underperform. This role works closely with business teams, IT and delivery, bridging strategy and execution.
Key accountabilities
- Discovery & opportunity analysis
- Map end-to-end workflows with brokers and corporate teams and identify AI-focused process re-engineering opportunities.
- Produce clear business cases with explicit assumptions, risks, and expected outcomes.
- Make evidence-based recommendations on whether to build, buy, iterate, or stop.
- Measurement & benefits tracking
- Define adoption, productivity, and value baselines that Finance will accept.
- Build and maintain dashboards reflecting real usage and outcomes, not vanity metrics.
- Risk, controls & governance
- Support governance processes, risk assessments, and documentation.
- Ensure analysis enables responsible AI decisions.
- Insights & continuous improvement
- Analyse model behaviour and user adoption patterns.
- Surface important findings about value realisation, adoption barriers, or unintended consequences.
- Enablement & communication
- Produce clear guidance, training materials, and explanations that help users adopt AI effectively.
- Communicate findings confidently to senior stakeholders.
Skills & experience
- Demonstrable expertise in AI platforms and models.
- Strong quantitative analysis and problem-solving capability.
- Experience defining and tracking metrics for AI-enabled products.
- Track record supporting initiatives that moved from analysis into delivery.
- Comfortable challenging assumptions and presenting evidence to stakeholders.
- Experience working in regulated environments or under formal governance.
AI Productivity Analyst employer: Howden
Contact Detail:
Howden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Productivity Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the AI and productivity space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. We want you to showcase your experience with AI platforms and your problem-solving prowess. Make sure you can confidently discuss how you've tackled challenges in past roles.
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, highlight your specific skills in quantitative analysis and metrics tracking. Show us how you can bridge strategy and execution effectively.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We love seeing candidates who are genuinely interested and proactive about their application process.
We think you need these skills to ace AI Productivity Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Productivity Analyst. Highlight your experience with AI platforms and any relevant quantitative analysis skills. We want to see how your background aligns with our needs!
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 you can help us bridge strategy and execution. Keep it engaging and personal – we love a bit of personality!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; demonstrate them! Share examples of how you've tackled challenges in previous roles, especially those related to AI and data analysis. We’re keen to see your thought process!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Howden
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms and models. Be ready to discuss specific examples of how you've used AI to create value in previous roles. This will show that you not only understand the technology but can also apply it effectively.
✨Master the Metrics
Since this role involves defining and tracking metrics, come prepared with examples of how you've measured success in past projects. Think about the metrics you used, how you tracked them, and what insights you gained. This will demonstrate your quantitative analysis skills.
✨Be a Problem Solver
Prepare to showcase your problem-solving capabilities. Have a few scenarios in mind where you identified issues and proposed solutions, especially in AI-related projects. This will highlight your ability to challenge assumptions and present evidence-based recommendations.
✨Communicate Like a Pro
Since you'll need to communicate findings to senior stakeholders, practice explaining complex concepts in simple terms. Bring along examples of training materials or guidance you've created in the past. This will illustrate your ability to enable others to adopt AI effectively.
