Nathan Davis

About Nathan Davis

I sit at a rare intersection of enterprise data governance, legal operations, and AI strategy, and I\'ve spent nearly two decades building the expertise that organizations urgently need as they navigate the complexity of responsible AI adoption, regulatory risk, and data policy transformation. As a governance and legal operations leader, I\'ve driven enterprise-wide policy and procedures development, contract lifecycle management, records and information governance, and full-spectrum eDiscovery across some of the most complex regulatory environments in financial services and corporate law. I don\'t just develop policy. I translate it into operational controls, platform configurations, and governance frameworks that actually work at scale. What sets my profile apart is the deliberate convergence of deep operational expertise with cutting-edge AI strategy education. With advanced training from the Wharton School\'s AI for Business Specialization and ongoing executive education in AI Strategy at Harvard Business School, I bring a modern, strategic lens to the governance challenges that matter most right now, including AI risk frameworks, data lifecycle governance, metadata standards, regulatory compliance, and responsible AI adoption. My experience spans enterprise data governance and policy, contract management and negotiation, information governance and records management, eDiscovery from legal hold through production, and enterprise platform procurement and implementation, particularly across Microsoft and Office365 environments. I\'ve partnered with Legal, Risk, Product, and Technology teams at the enterprise level to build governance programs that are both strategically sound and operationally executable. As a former member of Microsoft\'s eDiscovery Customer Advisory Board, I\'ve contributed to best practices that shaped how enterprises approach information governance at scale. If you\'re building or transforming a governance function, navigating AI strategy and risk, or looking for someone who can operate effectively at the intersection of law, data, and technology, let\'s connect.

Experience

1. Data Governance Consultant Global Technology Data Strategy Management

   Bank of America

   Oct 2025 — Present · Charlotte, NC, US

   Embedded within Bank of America\'s Global Technology Data Strategy Management team, driving enterprise data governance implementation across a complex, highly regulated technology environment. Translate Global Records Management policy into application-level controls and lifecycle governance frameworks, aligning system metadata and classification practices with enterprise retention schedules and regulatory obligations at scale.Develop governance artifacts, process documentation, and audit evidence that directly support regulatory compliance reviews and enterprise controls validation. Coordinate across Global Technology, Global Operations, and every front line business unit across the enterprise to operationalize data lifecycle requirements and ensure governance alignment at scale — spanning one of the largest and most complex financial institutions in the world.Independently introduced AI-driven workflows to the team, leveraging deep knowledge of current LLMs and Microsoft Copilot to meaningfully accelerate governance tasks, reduce manual effort, and elevate overall team output. Proactively established working relationships with the bank\'s enterprise-wide AI implementation team, becoming an embedded collaborative voice in how AI tools are being rolled out and adopted across the global organization.

Education

• San Diego City College

  Paralegal Studies (ABA)

  2001

• The Wharton School

  AI for Business Specialization

  2025

• Ashford University

  International Business

  2012

• Penn State University

  Applied Associates of Science in Information Sciences and Technology

  2016

• Harvard Business School

  AI Essentials for Business, Artificial Intelligence