Academic & Career Exeperience
Career Highlights
• 18+ years of international leadership across AI governance, compliance oversight, and digital transformation in highly regulated environments, including robotics, pharmaceuticals, aerospace, and manufacturing
• Proven owner of end-to-end compliance infrastructure across the AI and digital product lifecycle, including regulatory interpretation, policy development, validated training programs, control testing and monitoring (QA/QC), issue and defect management, metrics, executive reporting, and audit readiness (internal and external)
• Enterprise-scale AI governance and Responsible AI leadership at Amazon Robotics, partnering with executive and engineering leaders to define AI governance frameworks, deploy responsible generative AI solutions, and design compliance-aware workflows—reducing program defects by 67% in one month and accelerating delivery consistency
• Designed and deployed AI-powered risk management tools with broad organizational adoption (72% usage), improving visibility, delivery speed, and consistency across technical and non-compliance teams
• Led global AI modernization and compliance enablement programs across the U.S., U.K., and EU, integrating AI/ML, cloud architecture, and governance standards while reducing manual audit effort by 70% and increasing operational transparency
• Directed global data and technology transformation at Novo Nordisk, delivering $1.3B in measurable ROI and reducing project delivery timelines by 35% through predictive analytics, workflow automation, and embedded regulatory controls (GxP, cybersecurity)
• Direct experience collaborating with global regulators, including FDA and EMA counterparts, to embed compliance, cybersecurity, and quality controls into algorithmic decision-making and predictive analytics systems
• Deep expertise aligning AI operations with global regulatory and standards frameworks, including the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001, with integrated privacy and security dependencies across ISO/IEC 27701 and ISO/IEC 27001
• Recognized thought leader on closing the AI ROI gap, demonstrating how governance-first, execution-driven compliance enables scalable, responsible AI adoption while mitigating regulatory and operational risk
• Frequent executive advisor and keynote speaker on AI governance, compliance operations, and responsible AI deployment for enterprise, public-sector, and academic audiences
Dr. Shakeeia Marshall, Ph.D., M.S., PgMP, CRISC
Dr. Shakeeia Marshall is a Ph.D.-trained engineer and governance, risk, and compliance (GRC) leader with over 18 years of international experience operating at the intersection of AI, technology innovation, and regulatory oversight. Her career spans enterprise, highly regulated, and frontier-technology environments, with a consistent focus on building compliance infrastructure that scales alongside complex digital systems.
Her professional experience includes leading enterprise-scale AI and digital transformation initiatives at Amazon Robotics, where she partnered with executive and engineering leadership to define AI governance models, deploy responsible generative AI solutions, and design compliance-aware workflows that improved delivery consistency and reduced defects. Her work emphasized lifecycle-integrated governance, audit readiness, and measurable performance outcomes.
Previously, Dr. Marshall directed global technology and data transformation programs within regulated pharmaceutical manufacturing at Novo Nordisk, delivering over $1.3B in measurable ROI while embedding cybersecurity, GxP, and regulatory controls into algorithmic decision-making and predictive analytics systems. Her experience working directly with global regulators, including FDA and EMA counterparts, shaped a pragmatic approach to compliance grounded in transparency, evidence, and accountability.
Earlier roles at NASA Goddard Space Flight Center and Procter & Gamble further strengthened her foundation in data-driven compliance, systems engineering, and operational excellence—supporting safety-critical systems, analytics-driven optimization, and large-scale process standardization.
Across roles, Dr. Marshall has been a consistent owner of compliance and governance infrastructure, including policy lifecycle management, validated training programs, control testing and monitoring, issue management, executive reporting, and audit readiness across internal and external reviews. Her academic training in bio-mechanical engineering and systems management informs a disciplined, systems-level approach to governing AI and digital technologies in practice.
Academic Background & Certifications
