Saurabh Tyagi
AI Governance and Strategy Lead @ Queen's University
About
Artificial Intelligence is transforming organizations, but its success depends on strong governance, ethical leadership, and effective risk management. As AI Governance Lead at Queen's University, I lead the development and implementation of the University's enterprise AI Governance Framework and AI Strategy, enabling responsible AI adoption through governance, policy, risk management, and cross-functional collaboration. I also serve as Chief Operating Officer, Global Council for Responsible AI (GCRAI)-Canada Chapter, where I help advance responsible AI practices through community engagement, partnerships, and thought leadership. With 20+ years of experience in AI governance, IT Service Management, and digital transformation, I have helped organizations across higher education, healthcare, finance, automotive, and global enterprises modernize operations while delivering measurable business value. I hold the IAPP Artificial Intelligence Governance Professional (AIGP) certification, am Oxford University-certified in AI Ethics, Regulation and Compliance, MIT-certified in Applied Generative AI for Digital Transformation, a Project Management Professional (PMP®), and an ITIL Expert. These credentials, combined with practical leadership experience, allow me to bridge AI strategy, governance, technology, and operations. Core Expertise AI Governance & Responsible AI • Enterprise AI governance strategy and operating models • Responsible AI policies and governance frameworks • AI risk management, impact assessments, and oversight • AI lifecycle governance and organizational change • AI literacy and governance enablement Frameworks & Standards • EU AI Act • NIST AI Risk Management Framework (AI RMF) • ISO/IEC 42001 AI Management Systems • AI governance controls, compliance, transparency, and accountability AI Strategy & Enterprise Transformation • Enterprise AI strategy and adoption • Generative AI governance • Executive advisory and stakeholder engagement • Governance across legal, privacy, cybersecurity, procurement, research, and technology • Digital transformation and change leadership IT Service Management • Enterprise ITSM strategy and governance • ITIL practices, service management modernization, and AIOps • Operational excellence, continuous improvement, and value realization • Enterprise program and project leadership If you're interested in AI governance, responsible AI, enterprise AI strategy, or modernizing IT Service Management, I'd welcome the opportunity to connect.
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Canada
Information Technology & Services
Artificial Intelligence Governance, Artificial Intelligence Strategy, IT Service Delivery, Elder Care, AI ethics, regulation and compliance, Entrepreneurship, Digital Transformation, Business Process Improvement, Artificial Intelligence (AI), Portfolio Management, Strategy, Siebel, Requirements Analysis, IT Service Management, Business Analysis, Project Management, PMP, Service Delivery, Software Project Management, Management
Experience

AI Governance and Strategy Lead
* Lead the development and execution of the enterprise AI strategy, governance framework, and AI adoption roadmap. * Establish Responsible AI policies, governance controls, and AI lifecycle oversight aligned with NIST AI RMF, ISO/IEC 42001, and the EU AI Act. * Conduct AI risk assessments, model governance, privacy and compliance reviews, and third-party AI vendor evaluations. * Partner with executive leadership, IT, Legal, Privacy, Cybersecurity, and academic stakeholders to enable secure, ethical, and compliant AI solutions. * Define AI governance processes, KPIs, and operating models while promoting AI literacy and responsible AI innovation across the university.

Chief Operating Officer- Canada Chapter (Volunteer)
* Lead strategic planning and operational execution to establish and grow the Canada Chapter. * Drive Responsible AI initiatives aligned with global AI governance frameworks and best practices. * Build partnerships with academia, industry, government, and AI communities to advance Responsible AI adoption. * Oversee chapter operations, governance, membership growth, and volunteer engagement. * Organize conferences, webinars, workshops, and thought leadership initiatives on AI governance and ethics. * Collaborate with global leadership to align regional programs with GCRAI’s strategic vision. * Promote AI literacy, policy awareness, and cross-sector collaboration to foster trustworthy and responsible AI
Education

AI Ethics, Regulation and Compliance Programme
Navigating AI failures * AI failure * Ethics and AI * AI governance AI regulation in Europe * The EU AI Act in depth * The UK regulatory landscape * AI within the wider EU technology framework Global AI regulation * Global regulatory approaches (United States, Canada, Australia, Singapore, Brazil, South Korea and China) * Convergence and divergence in global AI governance * Generative and agentic AI regulation Auditing AI systems * Scope of the compliance mandate * Robustness and fairness * Conformity assessment in practice

Applied Generative AI for Digital Transformation
* Fundamentals of AI and LLMs: from history to future applications * Data democratization and neural networks * Practical LLM operations and marketplace applications * Ethical considerations and regulatory frameworks * Building AI-ready organizational culture * Advanced LLM applications and chatbot development * Impact of AI on the future of work * Enterprise AI strategy and organizational transformation
Saurabh Tyagi's Contact Information
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