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DataIQ Future Leaders

DataIQ Future Leaders recognises individuals working in data and analytics who are on an upward career trajectory to become the next cohort of senior data leaders. Already leading teams and reporting to a CDO or CDAO, they are data professionals who are shaping the future of this industry.

 

Categories and selection criteria explained here.

DataIQ Future leaders header. A female red haired DataIQ Future leader laughing

DataIQ Future Leaders

DataIQ Future Leaders recognises individuals working in data and analytics who are on an upward career trajectory to become the next cohort of senior data leaders. Already leading teams and reporting to a CDO or CDAO, they are data professionals who are shaping the future of this industry.

 

Categories and selection criteria explained here.

DataIQ Future leaders header. A female red haired DataIQ Future leader laughing

Begona Nunez-Herran, data and student analytics, director, The Open University

Describe your career to date 

Data, data and more…data. Since my first work experience, I have used data to deliver analytics. I believe this profession is the most exciting and interesting out of all because the job does not start or stop at the doing part and this means you are constantly feeding and learning from others. 

 

In financial services I learnt to empathise with the many customers an organisation has. It all starts there, understanding your customer and reading between the lines of what they say they want and what they actually need. Having a background in business management and marketing also helped me develop my commercial acumen, which I describe as the ability to get to the heart of things. This is the ability that drives best in class analytics. These things, mixed with good influencing skills, have been the key ingredients to my career progression. 

 

About five years ago I joined the Open University, a world full of opportunities to help our society. My team and I are on a fantastic journey, having been successful at securing a multi-million pound investment programme to build up the AI capability of the university with machine learning and MLOps at the heart of it. Exciting times.

Begona Nunez-Herran 2023.jpg

Tell us about the data and analytics resources you are responsible for 

We are the data and student analytics team at the OU part of the CDO. We are about 50 people working on data science, reporting, deep dive analyses that support strategic decision making, research, marketing analytics, and a delivery function that connects the dots with the data technology and management teams. At present, the big focus is to drive staff efficiencies through automation and reusability, as well as to improve our conversion and retention. For that we lead and support our stakeholders on the procurement of downstream technology that will also scale up the usage of machine learning.

 

Tell us about any ambitions you have in terms of becoming a data leader

My vision for the team is that our deliverables become part of the OU’s product proposition, that we deliver these products with the right speed to market and that we keep optimising the impact the products generate in the P&L. If we get to this stage, we can also become a profit centre and monetise some of the fantastic applications we are in the process of completing.

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