National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Manager

Chiswick
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Product Manager, NLP

senior technical product manager

Data Analyst/Project Manager

Product Owner

Data Science Manager

Product Data Analyst

Product Manager - Data & Analytics, Up to £90,000 + £7000 Car Allowance + 15% Bonus + Great Benefits, Hybrid Working, Global FMCG Company with amazing culture.

Overview of the Product Manager:

Are you ready to step into a role where you don’t just manage products - you create movements through data? Where you don’t just build roadmaps- you chart the course for innovation across some of the most respected brands in the market?

We’re looking for a visionary Product Manager to lead our clients Data & Analytics portfolio - someone who thrives in complexity, commands collaboration, and believes that data is destiny when it comes to smart decision-making.

If you’ve got the drive to deliver massive value, the passion to empower teams, and the mindset to turn data into opportunity, keep reading. Your next level starts here.

What Will You Be Driving?



Cast a Vision, Lead the Charge: Define and articulate a crystal-clear product vision and strategy that ignites the hearts of stakeholders and aligns with the company’s big-picture ambitions.

*

Unify Forces: Partner with data scientists, engineers, business analysts, and senior leaders to turn needs into outcomes, problems into progress, and ideas into innovations.

*

Own the Backlog, Own the Momentum: Prioritise high-impact features that move the needle and keep the team focused on what matters most.

*

Guide with Confidence: Provide technical clarity and support, ensuring your data products are robust, scalable, and built for growth.

*

Champion Integration: Seamlessly unify data streams from across the business to create a single source of truth that fuels insight and action.

*

Track What Matters: Design and monitor KPIs that measure real business impact - not just vanity metrics.

*

Empower Users: Lead training and support that turn end-users into evangelists for your products.

*

Partner Like a Pro: Manage third-party vendors and delivery partners with precision, ensuring excellence at every level of service.

*

Stay Ahead of the Curve: Tap into the latest trends in analytics, AI, and machine learning - and bring the future into today’s roadmap.

What You Bring to the Table

*

Education or Experience That Counts: A degree in Computer Science, Data Science, or something similar - or equivalent industry mastery.

*

Battle-Tested in the Data Arena: At least 5 years of experience as a Product Owner or Technical Product Manager, with a deep love for all things data.

*

Tech Know-How: Solid understanding of data warehousing, ETL, analytics, and visualisation tools. SQL, Python, or similar languages? Even better.

*

Leadership Mojo: You inspire, influence, and energize teams - whether you’re leading directly or through matrix structures.

*

Problem-Solving Powerhouse: You see challenges as fuel. You think fast, adapt faster, and get results.

*

Agile All-Star: You live and breathe Agile/Scrum principles and know how to bring the best out of any squad.

This Isn’t Just Another Role…

This is your chance to be the driving force behind a data revolution. To lead with purpose, build with passion, and deliver with excellence.

So if you're ready to elevate your impact, sharpen your edge, and lead with vision—then we want to meet you.

Step up. Take ownership. Create change.

Apply now and let’s make extraordinary happen

National AI Awards 2025

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.