Dr Shivaji Dasgupta, Group and European Chief Data Officer, Global EU banks, unpacks the complexities of achieving data maturity in financial services and harnessing the power of AI. 

He draws on his extensive experience, including roles at major financial institutions like Deutsche Bank, to provide a comprehensive overview of strategic data management in banking and finance. 

Dr Dasgupta joins 130 Chief Data Officers and Information leaders at Data & AI Edge, discussing Mastering Data Maturity & Harnessing AI. 

 

Strategic leadership and data management 

Dr Dasgupta emphasises the importance of viewing data not as a cost centre but as a critical asset that drives business value across the organisation.  

He highlights the need for understanding the end-to-end data lifecycle—from generation and storage to utilisation—stressing that organisations often focus narrowly on specific analytical use cases rather than the broader data context. 

 

Integration of data and IT roles 

One of Dr Dasgupta’s key insights is the convergence of IT and data management roles.  

He advocates merging the roles of CIO, enterprise architect, and chief data officer to foster a unified data-driven strategy.  

This integration is crucial for leveraging data effectively across business functions and aligning technological infrastructure with data governance. 

 

Future role of the Chief Data Officer 

Looking ahead, Dr Dasgupta foresees the evolution of the chief data officer role into that of a chief product officer.  

This transition reflects the need to oversee data governance, product development, and management, particularly as organisations increase their reliance on AI and data-driven decision-making. 

 

AI in financial services 

Dr Dasgupta discusses the application of AI in various banking aspects, such as anti-money laundering and customer segmentation.  

He also discusses using generative AI for data management, predicting profound shifts in the data landscape, and the skills required to navigate it. 

 

Key Takeaways: 

Strategic Asset View: Recognise data as a strategic asset integral to operational success and not merely as a cost centre. 

Role Integration: Promote the integration of data, IT, and business roles to enhance data utility and governance across the organisation. 

Evolution of Data Leadership: Prepare for the transformation of the chief data officer role to encompass broader product oversight, reflecting the growing importance of data in product development. 

AI Utilisation: Embrace AI technologies to innovate and improve efficiency in financial services, adapting to the changing landscape of data management and usage. 

Contributors
Dr. Shivaji Dasgupta CDO and Analytics experience from multiple large European Banks and other industries
Multi-year strategic and operative experience in digital transformation and operations in cloud-based business models at large and mid-sized corporations, public-sector Implementation of... More

Multi-year strategic and operative experience in digital transformation and operations in cloud-based business models at large and mid-sized corporations, public-sector

Implementation of large end-to-end data-driven products, including architecture and processes with business and technology cross-functional, cross-geographic teams

Implementation of cloud solutions for financial, risk and ESG solutions

6 years as McKinsey Digital consultant with focus on digital transformation in finance and online business-models

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Byron Connolly Head of Programs & Value Engagement
Helping to articulate and accelerate the changes Australia & NZ need in productivity, digitisation and innovation. Creating the highest possible value insights... More

Helping to articulate and accelerate the changes Australia & NZ need in productivity, digitisation and innovation.

Creating the highest possible value insights for our community of business and technology professionals, responsible for >50% of Australia’s GDP. Codifying success to help them reach their personal and organisational goals. Helping them articulate the value of an aligned and executed tech strategy to gain the resources and executive support they need.

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Data Leadership Transformation