Executive Vice President & Chief Information Officer, Associated Banc-
Search every verified Terry Williams interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Terry Williams, a retired Marine Corps brigadier general and former founder of Van Williams LLC, currently serves as Senior Vice President of Global Fixed Assets at PenFed Credit Union and Program Director at the PenFed Foundation. In a September 2025 podcast appearance, he discussed the foundation's Veteran Entrepreneur Program, stating that interested veterans can apply to the program or contact him at [email protected]. He also noted that the foundation accepts donations through its website. In an August 2025 CIO roundtable, Williams discussed data management challenges at PenFed, describing efforts to normalize investor data from disparate formats to provide advisers with a 360-degree view of high-value clients. He said the organization moved from a data warehouse to a data lakehouse approach and emphasized that data governance creates accountability. Williams also stated that the organization is in the beginning stages of a pension application modernization and has built a data action team to advise executives.
“All of our investors' data is spread all over the place to say the least. So our key is to get all that data into a single readable, normalized format so the likes of our advisers can make proper decisions and have a 360 view when talking to a high-value customer.”
“If you're talking about data analytics the way I would measure it is it's all just making decisions faster. A simple metric is measuring throughput and efficiency gain in decision making and output data compared to before I did AI.”
“We moved from data warehouse to data lake to data lakehouse — the problem is are you willing to store all your data in one location. As we move to the new era of GenAI you can have sub-agents which can go across multiple data platforms, but you still need governance, risk, scalability and ethics.”
“In 2010 the problem implementing BI was data was messy and siloed; you couldn't do ML because data was siloed. In 2025 you can't do AI because data is siloed by data load — if you haven't invested in a data lakehouse and those platforms you're at a loss.”
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