Dr. Antonia Roesler is a Senior Director Analyst at Gartner, where she advises senior data, analytics, AI, cybersecurity, and risk leaders on building resilient, trustworthy, and mission‑aligned organizational capabilities. Her work focuses on helping enterprises operationalize AI and analytics strategies, strengthen governance, and adopt responsible, secure, and transparent AI practices at scale.
Dr. Roesler specializes in the intersection of AI and analytics governance, enterprise risk, regulatory obligations, and strategic execution. She supports leaders navigating key architectural decisions, such as when to use small versus large language models, how to apply retrieval‑augmented generation or knowledge‑graph approaches, and how to design enterprise and AI architectures that balance innovation with accountability. Her guidance emphasizes strategic, organizational, and governance considerations rather than technical implementation.
With a deep background in human behavior, change psychology, and organizational transformation, Dr. Roesler brings a practitioner’s understanding of the cultural and behavioral shifts required for successful AI and data adoption. She is passionate about the way AI reshapes decision‑making, accountability, and cross‑functional collaboration, and she helps organizations build cultures that support ethical, compliant, and mission‑aligned innovation.
Her experience across government, legal, and defense communities, including service as a U.S. Naval Officer and public‑sector executive, informs her pragmatic approach to privacy, compliance, mission impact, and cross‑agency coordination. Dr. Roesler partners with CDAOs, CAIOs, CDOs, CISOs, enterprise architects, and risk leaders to modernize governance, clarify decision rights, prioritize use cases, and translate strategy into actions that deliver outcomes and advance organizations.
Prior to joining Gartner, Dr. Roesler served as the Chief Data Officer and Data Management Officer for the Texas Office of the Attorney General. She was responsible for enterprise data governance, privacy, data architecture, technology strategy, and AI enablement across a complex legal and regulatory environment. In this role, she led initiatives that integrated generative AI, cybersecurity, and advanced analytics into core agency operations, ensuring responsible, secure, and compliant use of emerging technologies.
Dr. Roesler served on executive governance and policy boards overseeing AI enablement, data and privacy programs, legal compliance, and strategic modernization efforts. She provided senior leadership with guidance on responsible AI adoption, organizational change, and risk‑aware innovation. Her work strengthened the agency’s data foundation, improved alignment between technology and mission outcomes, and advanced a culture of ethical and accountable data use.
Texas Office of the Attorney General, Chief Data Officer, 5 years
Texas Department of Motor Vehicles, Senior Management Analyst, 2 years
U.S. Navy: Department of Defense, Naval Officer, 5 years
City of New Orleans, Senior Programs Manager, 2 years
Data and Analytics Leadership and Programs
Data and Analytics Governance
Evolve Best Practices for D&A and AI Governance Programs
Set Up Your AI Governance Structure and Operating Model
Doctor of Business Administration: Leadership & Strategy
Post Graduate Program: Artificial Intelligence for Business Leaders
Post Graduate Certificate Programs: Power and Influence; Strategy Execution; Organizational Leadership
Master of Business Administration: Project Management
Bachelor of Arts: Political Science (International Relations and Comparative Politics); Globalization Studies (Middle East)
Designing integrated AI, data, and cybersecurity governance that aligns with legal, regulatory, and organizational requirements
Guiding leaders through AI and data strategy and architectural decisioning (e.g., LLM vs SLM, RAG vs knowledge‑graph, build versus buy, risk profiling)
Establishing responsible AI practices, including ethics, transparency, accountability frameworks, and risk‑aware adoption across the enterprise
Leading organizations through human‑centered transformation, including culture change, workforce upskilling, and behavioral shifts required for AI and data‑driven work
Building durable data governance, privacy, and compliance programs that integrate with enterprise risk management and cybersecurity objectives