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

Join next week’s Data Management Summit for the Low-Down on Data Governance

Subscribe to our newsletter

Data governance, lineage and quality are in the spotlight at next week’s A-Team Group Data Management Summit in New York City, with discussion expected to focus on progress, regulatory impact, strategic approaches and the potential benefits of a strong data governance framework beyond regulatory compliance.

Michael Vapenik, enterprise data governance officer at American Express, will moderate a panel session during the Summit that will cover these issues and answer your questions. Vapenik will be joined on the panel by Ellen Gentile, assistant vice president, data quality and data steward at Sumitomo Mitsui Banking Corporation; Sue Habas, vice president of strategic technologies – data intelligence at ASG Technologies; Catherine Louisy-Louis, senior vice president, director, Americas data governance at Mizuho Americas; and Nathan Snyder, partner at Brickendon Consulting.

We caught up with Snyder ahead of the Data Management Summit, to get a flavour of Brickendon Consulting’s approach to data governance, which favours change from a top-down to a data consumer approach to governance.

Snyder explains: “Looking at regulations and data in terms of difficulties around ownership, stewarding and mastering tends to ignore how data is used across an organisation. We take a more data consumer focussed view as there is no value in mastering data, but there is value in distributing it for use. If consumers own some data governance, this can also help their understanding of data quality.”

Data lineage can also be improved with a consumer view, which also moves data governance closer to meeting business needs. Snyder says that if data governance is driven by data architects and internal standards, it may not be very useful for data consumers working to meet business needs. Instead, he suggests: “Data governance needs to be about relationship management and engaging with groups of consumers to meet their requirements and understanding of data. By promoting a holistic view of data to consumers, they can feed back on what needs to be changed.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

Eagle Alpha Alternative Data Conference, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...