Product Manager

Formula Recruitment
Sheffield
10 months ago
Applications closed

Related Jobs

View all jobs

Product Manager - Machine Learning

Product Manager (Artificial Intelligence)

Product Manager (Artificial Intelligence)

AI Product Manager - Data Science (Energy) - London

AI Product Manager - Data Science (Energy) - London

AI Product Manager - Data Science

Product Manager | Analytics & Reporting

Salary: up to £70,000 (plus 10% bonus and benefits)

London / Midlands | Hybrid


Formula is proud to be working with a leading high street retailer, who is dedicated to providing exceptional products and services that enhance their customers’ well-being. With a strong heritage, and an ambitious new growth strategy to double down on digital, it’s an exciting time to be joining!


They are seeking a dynamic and experienced Product Manager to join the team, focusing on Analytics and Reporting across the business. As the Product Manager, you will play a crucial role in driving insights and decision-making through data-driven analytics and reporting solutions. You will collaborate closely with cross-functional teams, touching every area within the business, helping to define product requirements, prioritize features, and shape the data-driven side of the team.


Who are you?

• 3-5 years experience in a Product Management role, ideally with a data analytics or platform focus

• Comfortable working with and speaking to data and analytics teams

• Exceptional stakeholder management skills are going to be key in this role and influencing

• Strong understanding of analytics platforms, data visualization tools, and reporting methodologies.

• Experience with Agile development methodologies and tools (e.g., JIRA, Confluence).

• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams


Key Responsibilities:

• Work closely with stakeholders to gather requirements and translate them into actionable product features and enhancements.

• Conduct workshops with business teams to gather requirements and understand the scope of new features

• Collaborate with engineering, data science, and business analytics teams to deliver scalable and efficient solutions.

• Define and understand key performance indicators (KPIs) and metrics to measure the success and effectiveness of analytics products.

• Monitor product performance and user feedback, continuously iterating and improving based on insights and data-driven decisions.

• Stay updated with industry trends and best practices in analytics and reporting tools, bringing innovative ideas to the team.


Offices and hybrid working culture:

The company works with a hybrid working culture. The significant majority of the technology and product organisation are co-located in their HQ, enabling regular in-office working collaboration and team building and socials.


Benefits:

• Retirement savings plan

• 10% annual bonus

• Generous discount scheme

• Access to free 24/7 counselling support

• Discounted gym membership

• Life assurance

• Enhanced maternity/paternity/adoption leave pay


The Interview process:

• Screening with Product Consultant from Formula: 30 minutes

• Meeting with Hiring Manager: 30 minutes

• Panel interview with Senior Leadership team 45-60 minutes


This is a fantastic opportunity for a Product Manager to move into a well-established business and have the chance to shape how data-driven decision-making is made within the team.


Unfortunately, due to the high volume of applications, not all submissions will receive feedback.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.