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Di Mayze, Global Head of Data and AI, WPP

What has been your path to power?

 

My journey has been less about a path to power and more a skip to the perfect role! After nine years in digital roles at Hearst UK, I enrolled at Cranfield School of Management to do an MBA. It was here that I was introduced to the marvel that is dunnhumby and following a project as part of my course, I joined dunnhumby in 2007 as senior solutions director. Over the next few years, I worked on some really interesting projects for fascinating clients. These included an econometric modelling price and promotion project for Nestle, exploring the impact of below the line activity for P&G and Unilever, and finally running the Northern category team optimising retail sales for Warburtons & Kellogg’s. In 2011 I moved to Boots to head up their commercial insights business and consulted for suppliers of Boots such as Estee Lauder, L’Oréal and J&J.

 

I joined WPP in 2014 to run marketing technology consultancy, Acceleration, working for clients such as Mazda and SABMiller leaving three years later to become a freelance Data Strategy Consultant. I had missed getting really close to the data although didn’t go very far and having consulted for numerous WPP agencies became WPP’s first ever global head of data and AI in 2020.

What impact has the pandemic had on demand from your clients?

 

It is more important than ever for brands to be able to understand and empathise with their customers, to be relevant and trustworthy and our approach to creative transformation has been a key part of this. From a data point of view, it won’t surprise you that I’d say our breadth of data skills and insight capability have been very much in demand as well as a keenness to partner with our new AI acquisition, Satalia and our data company, Choreograph. Clients recognise that by partnering with WPP they will have a marketing operation fit for the future, whatever that throws at us!

 

Do you get a seat at your clients’ strategic discussions? If not, what will it take to get you there?

 

Our clients are feeling data and technology tensions about whether or not to centralise, where to collaborate and where to keep data siloed, how much to own versus buy etc. It’s fair to say there are a lot of decisions that need to be made! One thing I love about my role and my team is that effectively we are WPP’s own client zero on how a modern central data team can operate. Clients love hearing about what we are doing to optimise the skills and data available for our agencies and subsequently clients. My mantra of “you don’t have all the data you need but you don’t use all the data you have” is still something I say at least weekly – my team must be so bored of me!

What are your key areas of focus for the business in 2022?

 

Here’s our top three! Our brilliant WPP Open Data & AI Community will continue to unite our data folks globally. We had a big push with our APAC colleagues in 2021 and 2022 will see more markets running sessions to share their work. Look out for our dataverse event later this year, which will be open to non-WPP folks!

 

Our award winning (thank you DataIQ!) Demystify AI content will continue to evolve as we work with our partners such as Synthesia and Territory Studios. Finally, our “connect, not collect” data philosophy will continue as we source interesting and useful data sets, share access to them with our agencies via our data catalogue and watch in wonder at what creative solutions they build with them for our clients.

 

How do you apply your leadership skills a) within your own business and b) on behalf of your clients?

 

It may not be what the textbooks advise, but my leadership style internally and externally is pretty consistent. I want everyone to be excited about the possibilities of data, to see that it is a powerful ally to creativity, to know that data has such an important role to play in making a fairer, more inclusive, and more sustainable world. I love how people are embracing this and supporting this belief and I’m lucky that WPP supports me in creating a platform for our data people so they feel valued and heard.

 

What key skills or attributes do you consider have contributed to your success in this role?

 

I possibly should be embarrassed about this but whilst my maths and tech skills are pretty good, I’m not a data scientist. I often hear from people that my success, despite the lack of data science skills, has encouraged them to consider a data career for the first time which is great to hear. I also think there’s plenty of room for us all to be awesome, so I’ll champion anyone who deserves it, and I love finding undiscovered talent in the dataverse, ensuring their work and thinking get shared. The WPP Open Data & AI Community all know I care about them. I’m happy to have a job that rewards and requires EQ.

 

How did you develop – and continue to develop – these skills or attributes?

 

I read all the time, and on a huge range of data related subjects. These vary from data science blogs to legal cases, to industry specific advancements such as the role of AI in agriculture and health, to the brilliant work that WPP agencies are doing. I don’t think I’ll ever get bored of hearing new insights or new applications of data and all they do is remind me how much I still have to learn.

 

How do you ensure that your proposition keeps pace with your clients’ goals and requirements so that you are leading rather than lagging behind their demands?

 

Flexibility is key for our data offer to clients; we don’t operate a one-size-fits-all approach and will curate the most appropriate data, skills, technology and product to be appropriate for the client’s goals, both now and in the future. It’s important to us that in five years’ time our clients look at what we built together and feel proud of the good decisions that we all made, and that the people, processes and technology all adapt and evolve.

 

 

Di Mayze
has been included in:
  • 100 Enablers 2020 (EMEA)
  • 100 Enablers 2021 (EMEA)
  • 100 Enablers 2022 (EMEA)

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