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Robin Sutara, Field CTO, Databricks

Describe your career to date

After starting my career repairing electrical and weapons systems on Apache helicopters, I made the foray into computers by doing hardware repair for several years while obtaining my MCSE certification via night school. 

 

With this education, I was able to start a career that spanned more than two decades at Microsoft in various technical, operational, and leadership roles. From technical consulting to data analyst to chief operating officer of Azure Data Engineering, I culminated my career there as the CDO of Microsoft UK. 

 

During this time, I also pursued educational opportunities to grow, such as a juris doctorate, Master of Law in Intellectual Property, and a graduate certification in engineering leadership. In each of these experiences, I learned best practices for leading and implementing a data-led organisation through people, process, and technology. And now with Databricks, I have the amazing opportunity to share that journey and those learnings with others on similar paths to help them become data-centric organisations more quickly.

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

I have found the skills of collaboration, negotiation, storytelling, and troubleshooting to be invaluable in my journey. In data, we are often asked to tie business and technology together in new ways; to bring disparate teams together to drive toward tangible solutions, leveraging data, unlocks amazing opportunity and innovation.

 

What level of data maturity do you typically encounter across your client base and what tends to hold this back? 

I have had the opportunity to work with hundreds of organisations around the world, representing the full spectrum of data maturity. For those that are still relatively novice in their data journey, there is primarily a focus on basic business insights and reporting. As organisations begin to mature, we see a shift from backward looking to forward. They begin to leverage their data to be more predictive and preventative – leveraging advanced data science, AI, and machine learning. 

 

Where I see organisations struggle is when they depend on technology to solve gaps in people and process. Successful data transformation requires strong change management that is inclusive of people, process and technology. Only by ensuring that you have a great foundation with the technology – and investing in the cultural aspects of your organisation – can you mature in your data journey.

What trends are you seeing in terms of the data and analytics resources your clients are demanding from you? 

Organisations are asking to do more with less. With the current economic pressures, every data project has to result in additional customers, increased operational efficiency, or better products or services. The primary focus is simplification. First, how to automate where possible to free up the human capital to drive other impact. Second, ensure a good foundation for democratisation. 

 

No longer can organisations afford to have multiple proprietary systems and tools that are difficult to operate/maintain. The limited inhouse resources need to be focused on the highest business impact problems – with a literate organisation equipped for self-service.

 

What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole? 

Large language modelling is rising largely due to the ChatGPT phenomenon. This type of AI is not new but what is taking the world by storm is the easy accessibility. It has suddenly become very approachable for users, regardless of technical ability. This is the challenge we face for data. How do we make all data use cases as easy for our organisations? By ensuring ease of use and access, we create the literacy and data-led cultures needed to transform and innovate.

How are you developing the data literacy of a) your own organisation and b) your clients? 

I focus on people and process. People often resist change in favour of the status quo, so ensuring we are creating processes and enabling people with measurable data-led metrics is critical. It is the art of doing this without having direct control of the data or decisions that offers an exciting challenge. 

 

For example, can you get a leader to think differently about a new product by asking datacentric questions. Or ensuring the data allows a people manager to consider alternative resource allocation plans. The more we ground data literacy based on business value, the more successful we will be.

 

How are you tackling the challenge of attracting, nurturing and retaining talent?

My main focus is inclusivity. For me, this is actively connecting with organisations such as Women in Data to create more opportunities for networking, mentoring, training, and education at all levels of current and future talent. Additionally, it means ensuring that we are creating an open, transparent environment for talent from all backgrounds. 

 

This includes formal mechanisms, like employee resource groups that connect people with similar traits and interests, but also informal mechanisms, such as an open door policy and extensive mentee network. I hope that in some small way I can help to create a great pipeline of future data leaders.

Robin Sutara
has been included in:
  • 100 Enablers 2023 (EMEA)

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