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This is a profile from the 2022 version of the DataIQ 100.

The latest list is available here.

Paul Lodge, chief data officer, Department for Work and Pensions

What has been your path to power?

 

My career has always been focused on the use of evidence-based decision making, from my early career developing operational analysis in the Army which led to my first civilian role using statistical process control in the insurance services sector. This enabled me to develop my technical data and analysis skills in preparation for a move to Accenture which provided the opportunity to develop a really deep technical skillset.

 

During my eight years at Accenture, I worked up through the development of database schemas for SAP materials management to the cleansing and migration of over 60m unique taxpayer records at HMRC as part of the Modernising PAYE Processing for Customers programme. During this time I was also able to undertake more experimental data and analytics work in the medical imaging sector which allowed us to identify the root causes of relatively high cancer mortality rates in Brazil.

 

In 2012 I moved on from Accenture into increasingly sophisticated data programmes at Detica and the Home Office, during which time I was responsible for developing social media analytics, biometric analysis and more traditional data warehouse design and build. This led to a fascinating opportunity at the National Crime Agency to build the data and analytics capability required to implement the National Cyber Security Programme.

 

In March 2017 I was fortunate to be appointed as chief data officer for the Department for Work and Pensions (DWP). The scope of this role is awesome – I have a team of 685 data engineers, data managers, data scientists, statisticians and software developers who are responsible for one of the largest datasets in Europe and for ensuring that we are able to support over 22m UK citizens in times of need.

 

The consistent theme throughout my career to date has been the use of data and evidence to create insight in support of UK citizens, which is something that I am very proud of.

What impact has the pandemic had on the role of data in your company/organisation?

 

The pandemic has had a huge impact on the role of data in DWP, and public service delivery more widely. Prior to the pandemic, data in DWP was, to a greater extent, a rear-view mirror – looking back at how we had been performing in relation to a very stable labour market and operational service delivery.

 

The immediate effect of the first lockdown was for the organisation to ask two key questions: how many citizens will become unemployed; how can we configure our operations to react? This provided the impetus for DWP data to innovate leading products at an incredible pace. This included digital twins and process mining to understand productivity; advanced analytics for in-flight fraud detection; leading edge customer experience analytics to improve how we serve; dynamic models of the UK labour market down to local level; operational service analytics capabilities to drive a culture of inquisitiveness and trust in data; development, in collaboration with the Alan Turing Institute, of the first-of-type operational data trust; and advances in the exploration of synthetic data.

 

This has pushed the influence of data up to the highest level in DWP and has provided the opportunity to invest in the underlying data architecture in a way that will set us up for the next evolution.

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