Director, Product Configuration London, England (Basé à London)

Jobleads
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Product Director - Digital Health

Director of Product - City of London

Director of Data Engineering

Procurement Analyst Manager

Software Engineer

Data Engineer

Director, Product Configuration

About Choreograph:

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators, and problem solvers are over 1,000 strong, across 20 markets around the world.

About the Product & Engineering team:

The Choreograph Product & Engineering team is responsible for building the technology platform that powers the way we create audiences, forecast, price, and optimise cross-channel campaigns. It is a proprietary solution which has a fast-expanding user base across markets, agencies, and clients. There is an extensive roadmap of developments that is required to support all the use cases and channels.

The team consists of several specialist areas, all involved in product and system development, these include product management, project management, data science, technical design, and technical account management.

Intro to the role:

This brand new role bridges the gap between product development and operational success. They will be responsible for developing and overseeing the implementation strategy for supply and performance data into the Planning platforms.

The role blends technical understanding of the Planning platforms with an in-depth integration knowledge of the supply and performance architecture. This combined with translating commercial requirements and configuration resource constraints to define the implementation strategy for scalable operational success.

It will involve driving collaboration with key technical and commercial stakeholder teams across the Group, such as Investment, Regional Teams and Product Managers, putting forward a centralized configuration perspective on new product development.

The role will be based in London and report to the Global VP of Product Configuration, Planning. The candidate should have experience working within the advertising industry; nice to have specifically within supply management and integration. The candidate must be collaborative and work well across a matrix organisation, in many markets, and with senior executive management.

Key Responsibilities:

  1. Developing Implementation Plans: Creating detailed, scalable plans for implement product enhancement and new platform builds – ensuring scalability, technical requirements, and internal resources.
  2. Process Optimization: Continuously improving implementation processes to increase efficiency, reduce costs, and enhance client satisfaction.
  3. Cross-functional Collaboration: Working closely with Investment, Finance, Product Management, Engineering, Configuration and Enablement teams to ensure seamless product rollout and adoption.
  4. Documentation & Knowledge Management: Maintaining comprehensive documentation of implementation processes, best practices, and troubleshooting guides.
  5. Performance Monitoring & Reporting: Tracking key metrics related to implementation success, identifying areas for improvement, and reporting to senior management.
  6. Client Onboarding & Training: Collaborating with the Enablement teams to be a key part of the onboarding process for new clients adopting the product, including training materials and support for both a technical and commercial audience.
  7. Staying Ahead of the Curve: Keeping up-to-date with industry best practices and emerging technologies to ensure the implementation strategy remains effective and competitive.
  8. Client Relationship Management: Building strong relationships with key client stakeholders to understand their needs and ensure successful product adoption.

About You:

We are looking for a candidate who can display the following attributes:

  1. Relevant industry experience: Working within a relevant function for advertising agencies, media owners, or client-side, or suppliers of social media and search technology.
  2. Well-versed in media, with a solid understanding of the digital ecosystem, but also have experience in other media types and the synergies between them.
  3. Experience within a Product Configuration or Implementation team.
  4. Data management and interpretation: Familiarity with the access, storage, manipulation, and interpretation of media performance data across cloud infrastructure technologies, specifically Google Cloud and API tools.
  5. Proven experience with SQL, Google BigQuery, Snowflake or similar.
  6. Proven experience with technical and commercial stakeholder management.
  7. Nice to have experience within a matrixed organization.
  8. Experience with Data Visualization software such as Looker, Tableau.
  9. A proactive and entrepreneurial attitude, capable of managing multiple products and projects, ensuring successful outcomes.
  10. Excellent communication – written and verbal - with the ability to engage and influence stakeholders across the organization.
  11. Ability to identify opportunities, address challenges, and optimize advertising performance using strong problem-solving skills and strategic thinking.

(Please note this is a UK based role and requires individuals to have the right to work in this location)

#LI-Promoted

#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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.