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Gartner Analyst
Antonia Roesler
Sr Director Analyst
Dr. Antonia Roesler is a Senior Director Analyst at Gartner, where she advises senior technology, data, analytics, AI, risk, and legal executives on AI strategy, governance, operating models, enterprise architecture, and business transformation. Her research focuses on helping organizations scale AI responsibly by aligning strategy, governance, architecture, data foundations, and organizational capabilities to business outcomes. Her coverage includes AI governance, AI risk management, AI sovereignty, responsible AI, AI literacy, data governance, enterprise AI architecture, and AI operating models.
Dr. Roesler specializes in helping organizations move from AI experimentation to scalable, governed, and business-aligned adoption. She supports leaders navigating decisions related to enterprise AI architectures, governance operating models, AI risk management, sovereign AI, responsible AI adoption, and the organizational capabilities required to industrialize AI at scale. Her guidance emphasizes the intersection of strategy, governance, people, process, technology, and risk, helping organizations balance innovation with accountability and business value.
Drawing on executive leadership experience across government, legal, and defense environments, Dr. Roesler brings a practical perspective to balancing innovation, governance, risk, cybersecurity, compliance, and organizational change. She is particularly passionate about how AI is reshaping enterprise decision-making, accountability, workforce capabilities, and cross-functional collaboration. She works closely with CIOs, CDAOs, CAIOs, CISOs, enterprise architects, and other executive leaders to modernize operating models, strengthen governance, prioritize investments, and build the capabilities required for long-term AI success.
Previous experience
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, AI, privacy, governance, architecture, and technology modernization initiatives across one of the largest legal organizations in the United States.
In this role, she led enterprise programs spanning data governance, AI adoption, privacy, cybersecurity, advanced analytics, knowledge management, and digital transformation, helping modernize operations while maintaining regulatory and legal compliance. She also served on executive governance and policy boards responsible for AI enablement, enterprise risk, privacy oversight, data governance, and strategic technology investment decisions.
Dr. Roesler advised senior executives on responsible AI adoption, organizational change, technology modernization, and risk-aware innovation, helping align emerging technologies with mission objectives and operational priorities. Her work strengthened enterprise data foundations, improved decision-making and organizational transparency, and advanced a culture of accountable, secure, and effective use of data and AI.
Professional background
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
Areas of coverage
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D&A Leadership, Strategy and Operating Model
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Data and Analytics Governance
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Enterprise AI Strategy
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AI Governance and Organizational Change
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AI Strategy and Business Transformation
Education
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)
Top Issues That I Help Clients Address
Designing AI, data, and governance operating models that balance innovation, risk, accountability, and business outcomes
Developing enterprise AI strategies, roadmaps, and adoption approaches that move organizations from experimentation to scaled business value
Developing enterprise AI strategies, roadmaps, and adoption approaches that move organizations from experimentation to scaled business value
Establishing practical AI governance, risk management, and responsible AI capabilities that enable innovation while maintaining trust and compliance
Building AI-ready organizations through leadership alignment, AI literacy, workforce enablement, organizational change, and cross-functional operating models