Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director Data Science

WPP Media
London
1 week ago
Create job alert
Overview

Director, Open Intelligence role at WPP Media.

At WPP Media, we believe in the power of our culture and our people. This role leads a team to develop and deploy data and analytics solutions for a leading client across markets and the portfolio of brands. The individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale.

Role Summary And Impact

The Director, Open Intelligence leads a team to develop & deploy data and analytics solutions for a leading client across markets, the portfolio of brands. This individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale. The Director is responsible for ensuring thought leadership and for guiding the direction and development of the department. The individual would be responsible for managing the delivery commitments for the client for data warehousing, manipulation and audience analytics and AI based solutions for audience insights and targeting.

Responsibilities
  • Establish an overall approach to data organization and analytical solutions inclusive of data architecture, managing taxonomies, warehousing tech and AI capabilities.
  • Translate strategic goals into technical projects.
  • Oversee the design, management, and application of Choreograph and third-party solutions for data assimilation, enrichment and analytics for delivering data sets and insights for strategic planning & activation.
  • Advanced knowledge of data governance practices including data QA, general media naming taxonomy, data & platform integration, etc.
  • Robust knowledge of data management solutions in the markets.
  • Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.
  • Strong understanding and experience in application of AI methodologies for data manipulation and insighting.
  • Understanding how different media platforms can target their audiences, what are their limitations and nuances.
  • Understanding media effectiveness landscape, its limitations and challenges.
  • Advanced excel or python skills to be able to work with huge data sets.
  • SQL, experience with GCP, Snowflake, infosum and other databases to extract the data and build data pipeline.
  • Experience with Power BI or other data visualization tools especially geo coded data is a big plus.
  • Bayesian statistics, propensity modelling also a big plus.
  • Write POVs on industry topics and provide thought leadership on data privacy laws, third-party measurement tools, and space, the consumer marketplace, vertical expertise, etc.
  • Lead departmental projects and workflows including research & development, product roadmaps, interpersonal and coaching builds, etc.
  • Advanced knowledge of full-funnel strategy, with a focus on eCommerce and in-store driving tactics; synergy between brand and demand media.
  • Support new business pitches where needed.
  • Develop and maintain all client relationships inclusive of being the main connection between senior organizational analytics and digital leads as well as C-level management.
  • Team development and management skills.
  • Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.
  • Experience managing a mid-to-large size team.
  • Strong analytic and problem-solving skills.
  • Experience in design and execution of data storage and analysis solutions.
  • Experience in building advanced AI solutions for audience analytics and insights.
Life At WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

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

Please read our Privacy Notice for more information on how we process the information you provide.


#J-18808-Ljbffr

Related Jobs

View all jobs

Director, Data Science - Measurement & Optimization

Associate Director Data Science

Associate Director Real World Data Science

Associate Director/ Senior Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.