Upcoming events.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Bootcamp
Intensive study conducted by a facilitator. Facilitator will be in-person in Atlanta - RVA attendees will be joining by real-time virtual meeting. Great way to prepare for the exam!
Lunch included.
Location: VCU Campus
CDMP Exam Proctoring
Take the CDMP exam without a proctoring fee!
PLEASE NOTE: YOU WILL NEED TO PURCHASE THE EXAM SEPARATELY. Exam should be purchased from CDMP directly: https://cdmp.info/exams/
Light snacks included.
Location: VCU Campus
Time: TBD
May Member Meeting
John Rood
CEO/Founder of Proceptual.com
Building a Culture from AI Innovation
This talk reframes data management as the execution layer of AI strategy and governance as a decision-support mechanism, not just a compliance function.
Main points covered:
- Why 95% of AI implementations fail (and why 5% succeed)
- Understanding the "trough of sorrow" for AI in the organization
- The key role of training in building a culture of experimentation
John Rood is the Founder of Proceptual, where he specializes in AI governance and safety. He teaches these subjects at Michigan State University and the University of Chicago, sharing his expertise with generations of leaders. As a Certified AI Systems Auditor, John has conducted AI audit, governance, and training projects for a diverse range of organizations, from Global 50 corporations to innovative startups.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
April Member Meeting
Jeremy Deyo
Senior Data Architect at Tango Analytics
From Data Chaos to Cohesion: Unifying Data Warehouses After Rapid Growth
Rapid growth through acquisitions often leaves organizations with a patchwork of data warehouses, pipelines, and platforms—each optimized for a different point in time, but collectively difficult to manage and scale. This session tells the story of navigating that complexity. We’ll examine the challenges of integrating disparate data ecosystems, including conflicting data models, redundant ETL processes, and cross-cloud fragmentation. The discussion will then shift to how Tango Analytics is approaching the problem: defining a unified architecture, rationalizing pipelines, and establishing a foundation for long-term scalability and governance. This session focuses on practical lessons, early-stage decision-making, and what it takes to move from fragmentation toward a cohesive data platform.
Jeremy Deyo is a Senior Data Architect at Tango Analytics with over two decades of experience in data architecture, business intelligence, and data engineering. His expertise includes building and optimizing data warehouses, designing scalable ETL/ELT pipelines, and designing data platforms across AWS and GCP, including technologies such as Amazon Redshift and Google BigQuery. He has recently focused on developing distributed data architectures and is leading an initiative to consolidate multiple data warehouses and pipelines into a unified data platform.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
March Member Meeting
As organizations race to adopt AI, many find that early pilot successes don’t translate into sustainable, enterprise-wide impact. Models perform well in isolation—yet initiatives stall, trust erodes, and risk quietly accumulates as AI scales.
This session explores why AI scaling so often fails—not because of technology limitations, but due to underestimated data and governance gaps. We examine what data leaders commonly overlook when moving from experimentation to execution: data readiness versus availability, unmanaged feedback loops, shifting human behavior, and governance models that struggle to keep pace with everyday AI use.
This talk reframes data management as the execution layer of AI strategy and governance as a decision-support mechanism, not just a compliance function. Attendees will leave with concrete insights on where AI initiatives stall, what didn’t work in practice, and how data leaders can scale AI responsibly by scaling decision stewardship alongside technology.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
CDMP Virtual Study Sessions
Virtual sessions every Wednesday evening from Feb 18 - Apr 29 to prepare for the CDMP Fundamentals Exam.
February Member Meeting
AI Architecture: What your business needs?
Timo Selvaraj
Artificial Intelligence has moved from experimentation to expectation. Most organizations now recognize its potential — but many struggle to turn AI into something reliable, repeatable, and useful for everyday business decisions.
The challenge usually isn’t the AI models themselves. It’s the lack of a clear foundation — how data is prepared, how AI systems are connected to real business processes, how costs are controlled, and how results can be trusted over time.
In this session, we cut through the hype and explain, in plain terms, what businesses need to put in place to succeed with AI.
December Member Meeting
Steve Maclauchlan: Modernizing Data Management in Public Safety: Insights from the Virginia State Police
In today’s data-driven world, public safety agencies must navigate a complex landscape of legacy systems, evolving threats, and increasing demands for transparency and efficiency. At the Virginia State Police, Steven Maclauchlan has recently been placed at the forefront of efforts to modernize data management practices while supporting mission-critical operations.
This session will explore the real-world challenges and strategic decisions involved in transforming data infrastructure within a law enforcement environment. Steven will share early lessons learned from modernizing legacy platforms, implementing AI, and working to foster a culture around data across the agency. Attendees will gain practical insights into balancing innovation with compliance, improving data accessibility without compromising security, and aligning IT initiatives with the broader goals of public service.
Whether you're in the public or private sector, this talk will offer valuable takeaways on leading data transformation in high-stakes, high-integrity environments.
About Steve:
Steven Maclauchlan (AKA “Steve Mac”) is the Chief Data Officer at the Virginia State Police, where he leads strategic data initiatives to modernize and secure the agency’s information systems. With over 15 years of experience in data architecture, analytics, and digital transformation, Steven is passionate about using data to drive meaningful change in organizations.
Prior to joining VSP, Steven held leadership roles in consulting and data strategy, including serving as Head of Data at Ippon Technologies. He has worked across industries and continents (from Richmond, Virginia to Auckland, New Zealand!) helping organizations unlock the value of their data through modern platforms, governance frameworks, and AI-driven insights.
November Member Meeting
David Phillips: How Data Governance Makes Data Architecture Easy
Explore how data governance drives efficient data architecture, leading to successful business glossaries, technical code libraries, and robust data quality systems.
About David:
David is the Lead Data Warehouse Architect for the Virginia Department of Human Resource Management. He has 10 years of experience as a data architect and 19 years in data. Over his career, he led and oversaw multiple data governance subcommittees and data quality systems. He has a master’s in information systems from Virginia Commonwealth University. Outside of work, David loves to tango dance and has traveled to Argentina six times to study dance.
October DAMA Day
Welcome to DAMA RVA - October DAMA Day!
Join us for a day filled with exciting discussions and networking opportunities at the West End Dominion facility.
Whether you're a seasoned data professional or just starting in the field, this event is perfect for anyone interested in data management. Get ready to learn from industry experts, share your experiences, and connect with like-minded individuals.
Don't miss out on this fantastic opportunity to expand your knowledge and grow your network!