About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Data Management Summit Discusses How Best to Set up and Develop Data Governance

Subscribe to our newsletter

Data governance was a hot topic at A-Team Group’s Data Management Summit (DMS) in New York City with Sanjay Saxena, head of enterprise data governance at Northern Trust, presenting best practices for setting up data governance, a panel discussing how to evolve data governance, and many more questions being asked and comments being made on the topic throughout the day.

Saxena outlined the initial need to focus on data governance as a business rather than regulatory programme, saying that by doing this, governance has a multiplier effect and can deliver improvements across the enterprise including better data quality, competitive edge and customer service.

The next steps are to identify critical data to govern – Saxena said Northern Trust will have 10% to 15% of data under governance by 2018 – and follow the principles of BCBS 239, regardless of whether your organisation is within the scope of the regulation. A change management initiative to reset culture within the organisation is also essential.

Detailing Northern Trust’s journey, Saxena said the bank made an initial assessment of the need for data governance in 2014, put an operating model in place, started to expand strategy and hire data stewards in 2015, and this year decided to operationalise the strategy based on the regulatory need for data governance under the Comprehensive Capital Analysis and Review (CCAR), and business alignment required to achieve compliance with Anti-Money Laundering (AML) rules and regulations. Plans are now being made to build out data governance across four or five major bank programmes, an achievement that Saxena says is a success story, but only a starting point.

Moving on to the panel session on evolving data governance, moderator Maryann Houglet, consulting partner, enterprise information management at Tata Consulting Services Global Consultancy Practice, was joined by Brian Buzzelli, senior vice president and head of data governance at Acadian Asset Management; Julia Bardmesser, head of data quality management, Americas, at Deutsche Bank; Guy McDonald, vice president, EDM Instruments at Nomura; Jay Yulo, vice president of data governance at Morgan Stanley Wealth Management; and Sanjay Saxena.

The panel said data governance is not an option and noted compelling reasons to implement it beyond the regulatory imperative, including improving data quality, remaining competitive, enabling the business and driving better decisions out of data.

Looking at how to measure ROI from data governance and influence management spending, the panel agreed that it is unwise to boil the ocean and better to justify the cost of data governance and quality, and demonstrate ROI, in a large transformational project.

While technology can facilitate data governance, the panel repeated the importance of making governance a business rather than IT or regulatory issue, and said there are no individual technology tools in the market to support all necessary processes, although there are enabling tools that integrate and provide one view of meta data, lineage and data quality.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

4 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and...

BLOG

AML Partners Extends Directed Intelligence with AI/ML Agents

With its RegTechONE® platform and Directed Intelligence framework, AML Partners is enabling financial institutions to train their own AI/ML models using internal operational data, ensuring that compliance automation aligns with real-world risk decisions and regulatory expectations. Unlike traditional AI models that rely on opaque, third-party training data, AML Partners’ Directed Intelligence records every compliance decision,...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...