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For Companies At a Glance
- Tasks: Drive AI product analysis and support global financial services initiatives.
- Company: Join a consultancy shaping AI strategies for a leading financial organisation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in finance.
- Qualifications: Experience in business analysis, project management, and understanding of AI technologies.
- Other info: Onsite presence in Sheffield required three days a week.
The predicted salary is between 55000 - 85000 £ per year.
Contract: Permanent
Location: Sheffield - Onsite 3 days per week
Salary: £65,000 - £75,000
Work Style: Hybrid
Overview
We are seeking an AI Product Analyst to join a consultancy supporting a global financial services organisation on its enterprise-wide AI strategy and governance journey. You will play a key role in driving business analysis, lifecycle management, and product support for AI use cases across global business and functional teams. Working at the intersection of strategy, governance, and technology, you will help ensure AI initiatives are delivered efficiently, responsibly, and in alignment with group standards. Experience within Financial Services is highly beneficial. Onsite presence in Sheffield is required three days per week.
Responsibilities
- Drive business analysis and requirements gathering by engaging with senior stakeholders, translating business needs into clear, actionable deliverables for AI.
- Apply data modelling expertise to optimise the AI use case lifecycle, identifying opportunities to streamline processes, improve efficiency, and accelerate time-to-market while maintaining strong governance and risk controls.
- Lead project management activities using both Agile and Waterfall methodologies, creating detailed project plans, coordinating cross-functional teams, and tracking progress to ensure timely delivery of milestones.
- Present technical solutions and recommendations to stakeholders, clearly articulating business value and impact, and facilitating acceptance testing to validate successful implementation.
- Champion customer success by proactively resolving product and process queries, ensuring a seamless user experience and continuously incorporating feedback to enhance the product.
- Collaborate with AI, data, risk, and governance teams to ensure alignment with responsible-AI principles and regulatory expectations.
- Support documentation, reporting, and ongoing optimisation of AI lifecycle processes.
Required Experience
- Strong business analysis and requirements gathering experience within complex, enterprise environments.
- Experience with data modelling and lifecycle or process optimisation.
- Proven project management capability across Agile and Waterfall delivery models.
- Experience presenting technical solutions to both technical and non-technical stakeholders.
- Understanding of AI/ML technologies and the AI development lifecycle.
- Hands-on experience with tools such as Jira for tracking delivery and requirements.
- Strong stakeholder management skills across cross-functional teams.
- Experience supporting acceptance testing and structured delivery governance.
Desirable
- Experience working within Financial Services or other regulated industries.
- Exposure to Responsible AI, AI governance, or model risk frameworks.
- Experience supporting enterprise product or platform implementations.
Please apply today.
AI Product Analyst in Sheffield employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Analyst in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those involved with AI. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your project management skills. Be ready to discuss how you've successfully led projects using Agile and Waterfall methodologies. We want to hear about your experiences and how they can translate into success for our AI initiatives.
✨Tip Number 3
Showcase your data modelling expertise! Be prepared to talk about how you've optimised processes in previous roles. Highlight specific examples where your insights led to improved efficiency or accelerated delivery times.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace AI Product Analyst in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Product Analyst role. Highlight your experience in business analysis, project management, and any relevant work in financial services. We want to see how your skills align 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 your background makes you a perfect fit for this role. Don’t forget to mention your experience with Agile and Waterfall methodologies.
Showcase Your Technical Skills: Since this role involves presenting technical solutions, make sure to highlight your understanding of AI/ML technologies and any hands-on experience with tools like Jira. We love seeing candidates who can bridge the gap between tech and business!
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at 83zero Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML technologies and the AI development lifecycle. Be ready to discuss how these concepts apply to the financial services sector, as this will show that you understand the industry and can contribute effectively.
✨Master the Art of Stakeholder Engagement
Since you'll be working with senior stakeholders, practice how to translate complex technical jargon into clear, actionable insights. Prepare examples of how you've successfully engaged with stakeholders in the past, especially in a business analysis context.
✨Project Management Proficiency
Familiarise yourself with both Agile and Waterfall methodologies. Be prepared to discuss specific projects where you’ve applied these methods, detailing how you managed timelines, coordinated teams, and ensured successful delivery.
✨Showcase Your Problem-Solving Skills
Think of scenarios where you've proactively resolved product or process queries. Highlight your approach to ensuring a seamless user experience and how you incorporated feedback to enhance products, as this aligns with championing customer success.