Ensure institutionalization of best practices around effective design and delivery including delivery governance, risk management, and performance tracking across programs.
Team Building & Capability Development
Client Engagement & Value Realization
Thought Leadership & Innovation
Continuous Improvement & Iteration
Requirements
Masters Degree in relevant field with 20 + years of relevant experience
20+ years in enterprise architecture, engineering, or solution leadership within consulting, SI, or digital practices.
Experience partnering with senior client stakeholders including CIO, CTO, CDO, and business executives.
Proven experience in architecting data-driven, AI-enabled enterprise solutions, as well as adoption of standardized AI engineering and delivery practices
Strong understanding of cloud-native architectures, integration frameworks, data fabric/mesh, and AI orchestration.
Strong stakeholder management and executive communication skills.
Demonstrated experience leading large-scale digital transformation or AI transformation programs.
Proven track record of delivering production-grade AI solutions at enterprise scale.
Background in managing global delivery teams and distributed engineering organizations.
Experience establishing AI engineering practices, reusable frameworks, and innovation labs.