Product Manager

Global
London
1 year ago
Applications closed

Related Jobs

View all jobs

Product Manager - Machine Learning

Engineering Manager - MLOps & Analytics

Engineering Manager - MLOps & Analytics

Data Analyst, UK

Engineering Manager - MLOps & Analytics

Machine Learning Manager, Munich

Accepting applications until: 

26 November 2024

Job Description

We are Global

We’re proud to be one of the world’s leading media and entertainment groups. Whether it be on-air, via global player or through our outdoor advertising, we entertain and reach over 50 million individuals across the UK every week. 

Across our entire business, we’re committed to making more moments that matter for our audiences, customers and for each other. And every moment matters…the small, the big and everything in between. We couldn’t do any of it without our talented, passionate Globallers. Everything we do is driven by our culture and the talented people who make it happen.

Here at Global, we have a saying…it’s all about how you make people feel. It’s our company ethos, our guiding belief and it’s so much more than words. It’s the vibe you get when you walk into one of our offices, it’s what keeps us honest and true to who we are, and above all, it’s the reason we all love to work here.

Overview of job

Data is central to how we deliver an exceptional experience for our audiences and our clients, and for how we build and extend our competitive advantage. 

The Data Team have been on a journey over the last year, bringing together disparate teams into one data function. As part of that journey, we have recently created 3 distinct cross – functional squads to enable focus on core business problems, allowing a Product Manager to be theprimary point of contact for these business problems.

As a Product Manager for Data, you will report directly into the Head of Product (Data) and will play a pivotal role in shaping the future of our organisation's data strategy within advertiser, content and consumer areas. You will be at the forefront of driving innovation, ensuring data integrity, and optimising data-driven decision-making processes. This role is ideal for someone who thrives in a dynamic environment and possesses a deep understanding of data, technologiesand a passion for stakeholder management. 

3 best things about the job

Strategic Impact: You will have the opportunity to lead the development and evolution of our key business areas including commercial advertiser, content and consumer squads including central Group functions for the business. You will unlock data to the business allowing for better and more informed decision making.

Collaborative environment: Join a dynamic team of cross – functional experts where collaboration is key. Work closely with data engineers, analysts, data scientists and warehousing as well asbroader business stakeholders to translate business needs into innovative data solutions. 

Innovation and growth: Be part of a company that values innovation and invests in cutting – edge technologies. You will be encouraged to stay ahead of industry trends, implement best practices and contribute to the continuous improvement of our products and feed into the requirements for our data platform. This role offers ample opportunity for professional growth and development. 

Measures of success

With requests coming in from across the business, ensure the most valuable products are being worked on to elevate data utilisation and insights generation through self – serve methods and to alleviate the pressure of ad hoc requests.

Work alongside the data platform working group to ensure the right data sets are being ingested into the data platform to provide the greatest benefit across most use cases. 

Become the primary contact for many teams around the business including Global Player, DAX, Insights, Data Strategy and more, grow and manage the stakeholder relationships.

Be able to communicate reliances and dependencies across teams / the business and methodologies put in place to mitigate them.

Demonstrate impact of data platform by understandingbusiness needs from stakeholders and build into core use cases. Create innovative solutions tackling improved efficiency and enhanced decision-making ability

Responsibilities of the role

Strategic vision: Working closely with the Head of Product, Analytics, Data Science and Engineering to develop and articulate a strategic vision for the areas pertaining to the squads this role will own. Create a short, medium and long term roadmap outlining how it will come to life across multiple quarters. 

Product development:Lead the end-to-end product development lifecyclefor a range of areas pulling together professionals from all functions within the data team and working in collaboration with the data platform team to ensure robust data with longevity and a range of use cases.

Stakeholder Management:Build strong relationships with key stakeholders, including data engineers, data scientists and analysts. Communicate effectively to gather requirements, provide updates, and ensure alignment between business goals and technical solutions

What you will need

Experience:5+ years of experience in product management, with a focus on data platforms, analytics, or related areas

Technical proficiency:Strong technical understanding of data platforms, databases, and data processing technologies but also able to build the bridge between engineers and non-technical stakeholders

Communication:Strong communication and interpersonal skills are essential

Strategic Thinking:Ability to think strategically and contribute to the overall business strategy. Experience developing and executing product roadmaps aligned with organisational goals

Adaptability:Thrive in a fast-paced environment and demonstrate adaptability to evolving priorities and challenges

Everyone is welcome at Global

Just like our media and entertainment platforms are for everyone, so are our workplaces. We know that we can’tpossibly serve our diverse audiences without first nurturing and celebrating it in our people and that’s why we work hard to create an inclusive culture for everyone. We believe that different will set us apart, so no matter what you look like, where you come from or what your favourite radio station is, we want to hear from you.

Although we cannot make guarantees, we welcome conversations about flexible working for all roles at Global.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.