Partner - Media

Wavemaker Global Limited
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Manager

Associate Partner Manager French Speaking (Basé à London)

Experienced Partner - Consultancy Data Practice Leader

Digital Consulting Manager

Onsite Recruitment Business Partner

Data Scientist - Gen AI - Remote

Join to apply for thePartner - Mediarole atWavemaker

Media - Managing Partner, (AV/PRINT&AUDIO)

About the role:

Media is the beating heart of the agency. The place where creativity meets commerciality, and where specialists bring unrivalled work to life. The Managing Partner is a senior media leader both in their respective department and the wider Media team. They’ll oversee responsibility for the delivery of excellence in market media planning and buying, they’ll drive product growth within their suite of clients and lead the future vision of Media to continue to deliver outcome-based unrivalled work for our clients.

In this role, you will:

  • Be leaned upon to represent the agency as an ambassador for AV/Print.
  • Have a passion for AV/Print and be visual in the trade press.
  • Require senior stakeholder relationships with media owners and can form trusted and respected bonds with our senior clients.
  • Set standards for the work the department produces, ensuring a consistent high level of delivery across the floor.
  • Thrive in driving unrivalled work, both within your specialism and in collaboration within Wavemaker and with our partners.

Some of the best things about this role:

  • Being a respected figure within the department, for our clients, our people, and the industry.
  • Developing the future of media planning in a rapidly evolving era.
  • Driving commercial outcomes for our clients and our business.

Core skills:

  • Campaign Management
    • Implements campaign management strategies and frameworks to ensure that the team delivers high-quality and accurate planning and delivery.
    • Is accountable for the management of campaign activity across the team ensuring that it is in line with the media strategy and with commercial requirements.
    • Acts as a thought leader and driver around new market opportunities and offerings in the industry and to drive creativity and innovation in planning.
  • Media Investment Planning
    • Applies expert understanding to forecast future investment trends.
    • Drives high impact media initiatives that position WM competitively in the market.
    • Actively exploits and optimizes opportunities to achieve sustained improvements in clients performance in print/audio markets, whilst considering agencys commercial pressures.
    • Leads specialist media channels in pitches.
  • Demonstrating Value
    • Utilizes market and client knowledge to understand unstated expectations and understand the planning requirement against needs.
    • Develops the medium to long term strategy to meet the needs of the client to ensure that the relationship is viewed by the client as indispensable and irreplaceable.
    • Ensures that the product, innovation, service and solutions are utilized that differentiate Xaxis and Finecast from its competitors and demonstrate the value proposition of a continued partnership.
  • Multitasking
    • Manages multiple overlapping timelines and competing demands, weighing the needs of different stakeholders across the business to determine priorities for parallel projects and sets priorities according to business needs.
  • Operational Excellence
    • Accountable for ensuring best operational practice and consistency across the team. Ensure that operational changes or requirements are implemented.
    • Acts as a thought leader for continual improvements to increase time efficiency for the team and net working capital into the business.

About Wavemaker UK:

Wavemaker is a global media agency. We believe there is a better way to grow. By leveraging our deep understanding of audiences, Provocative Planning process and the world’s largest database of purchase journeys, we deliver exceptional growth for clients including Audible, Nationwide, Danone, Asahi and Morrisons.

Unlike traditional linear media planning, our modular approach combines machine learning and human intelligence to unlock, maximise and transform growth for the world’s leading brands and businesses.

A part of GroupM, WPP’s global media investment management company, our 7,650 people across 88 markets are defined by their attitude of positive provocation.

We are an equal opportunities employer and support the life choices of our employees. All GroupM agencies are equal opportunities employers and welcome applications from all suitably qualified persons regardless of their race, gender identity, disability, culture/religion/belief, sexual orientation, or age.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.