In an era of rapid AI adoption, organizations are racing to improve data quality—often focusing on selecting and implementing the right technology. But what happens after the tool goes live?

This session explores the strategic operational readiness required to ensure long-term success after deploying an enterprise Data Governance and Quality solution. Drawing from real-world implementation experience, we’ll uncover the critical components that drive sustainable value and adoption beyond go-live.

Presentation will be focused on the importance of change management, including the value add of an effective statement of work with technology vendors, detailed operating models, capability roadmaps, and strategies for relationship building across the enterprise for a scalable build and successful rollout.

Speaker: Marci Snyder, Data Governance & Quality Lead, Brighthouse Financial

Marci L. Snyder's career has many highlights in data governance, program management, and technology innovation across companies such as Brighthouse Financial, MetLife, AT&T, and Alcatel-Lucent. Marci is skilled in project leadership, data analytics, and process improvement, as well as proficient with a wide range of enterprise technologies and tools. Marci’s educational background includes a BS in Business Administration & Management with a focus on green sustainability.

Speaker: Evie Velazquez, Data Governance & Quality Manager, Brighthouse Financial

Evie's expertise includes data governance and quality, financial services data aggregation and data science, data metrics and analytics, broker-dealer back office operations, and CRM. Evie is accomplished in the use of SQL for extracting and analyzing data across diverse financial products, a trusted leader and subject matter expert for data governance strategy, testing, and deployment across multiple financial platforms, enabling customer and client success and business growth, with extensive customer and client services experience.