At a Glance
- Tasks: Lead AI-driven projects to enhance workflows and improve client outcomes.
- Company: Top UK professional services firm known for innovation and collaboration.
- Benefits: Generous holiday, private healthcare, hybrid work, and family-friendly perks.
- Other info: Great career growth opportunities in a forward-thinking organisation.
- Why this job: Join a dynamic team shaping the future of AI in a supportive environment.
- Qualifications: Experience in product management or business analysis with a focus on AI.
The predicted salary is between 55000 - 55000 ÂŁ per year.
A leading UK professional services organisation is seeking an AI Product Manager to join its growing Business Systems function. With a national presence and a long-established reputation for excellence, the organisation is investing heavily in next-generation technology that enhances service delivery, drives efficiency, and improves client outcomes. The business is known for its collaborative culture, forward-thinking approach, and commitment to developing innovative digital solutions. Recently recognised as one of the best large employers in its sector, the organisation offers an inclusive, supportive, and progressive working environment with excellent long-term career prospects.
This role sits within a dedicated AI Agile Squad, a crossâfunctional team responsible for designing and delivering AIâdriven tools that improve legal and operational workflows. You will play a key role in shaping how AI is adopted across the organisation - from early discovery through to iterative delivery and optimisation. You will be at the centre of major digital transformation initiatives, working closely with product, technology, data, and operational teams to ensure solutions are userâcentred, compliant, and operationally impactful. This is a hybrid role requiring presence in one of their offices approximately 60% of the time, with flexibility as needed (Cambridge, Norwich, Ipswich or Essex).
What you will bring:
- Experience as a Business Analyst, Product Manager, or similar role within digital/technology environments
- Strong understanding of workflow automation and process optimisation
- Experience working within Agile teams and supporting iterative product delivery
- Knowledge of AI concepts such as LLMs, NLP, classification/extraction models, summarisation or RAG workflows
- Ability to simplify complex technical concepts for non-technical audiences
- Strong stakeholder engagement and workshopâfacilitation skills
- Experience contributing to or leading Agile/Scrum ceremonies
- Confidence working in regulated, riskâsensitive, or dataâdriven environments
Benefits:
- 25 days holiday + bank holidays
- Private Healthcare
- Employer pension contribution
- Life assurance (4x salary) and permanent health insurance
- Enhanced familyâfriendly benefits
- Electric car scheme
- Hybrid working model
- And more
AI Product Manager in Colchester employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Product Manager in Colchester
â¨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and might just land you a referral.
â¨Tip Number 2
Prepare for the interview by researching the companyâs recent projects and AI initiatives. Show them youâre not just another candidate; youâre genuinely interested in their work and how you can contribute.
â¨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past experiences, especially those that highlight your Agile and AI knowledge. Make it relatable and engaging!
â¨Tip Number 4
Donât forget to follow up after your interview! A quick thank-you email reiterating your enthusiasm for the role can keep you fresh in their minds. Plus, it shows youâre proactive!
We think you need these skills to ace AI Product Manager in Colchester
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the AI Product Manager role. Highlight your experience in digital/technology environments and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 contribute to our collaborative culture. Don't forget to mention your experience with Agile teams and workflow automation.
Showcase Your Technical Knowledge: We love candidates who can simplify complex concepts! Make sure to include any knowledge of AI concepts like LLMs or NLP in your application. This will show us that you understand the technical side of the role.
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 donât miss out on any important updates. Plus, itâs super easy!
How to prepare for a job interview at Nigel Frank
â¨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts like LLMs, NLP, and workflow automation. Be ready to discuss how these technologies can improve operational workflows and client outcomes, as this will show your understanding of the role's requirements.
â¨Showcase Your Agile Experience
Since this role involves working within Agile teams, be prepared to share specific examples of your experience in Agile environments. Talk about your contributions to Scrum ceremonies and how you've supported iterative product delivery in past roles.
â¨Engage with Stakeholders
Highlight your stakeholder engagement skills by discussing how you've facilitated workshops or collaborated with cross-functional teams. This is crucial for the role, so demonstrate your ability to simplify complex concepts for non-technical audiences.
â¨Emphasise Cultural Fit
The organisation values a collaborative culture, so express your enthusiasm for teamwork and innovation. Share examples of how you've contributed to a positive team environment and how you align with their forward-thinking approach.