Overview

AI Governance & Privacy Compliance Leader | Technology Risk, Responsible AI & Information Governance

Shakeeia Marshall is a Ph.D. Engineer and AI governance leader whose work sits at the intersection of responsible AI deployment, compliance, data privacy and enterprise risk management. With over 18 years of experience across highly regulated industries — including healthcare, pharmaceuticals, aerospace, and legal sector technology — she brings both the strategic fluency and operational depth required to lead complex information governance engagements at scale.

Dr. Marshall has built and led global programs spanning AI governance, data privacy, vendor risk management, and IT compliance, translating regulatory frameworks — including NIST AI RMF, EU AI Act, ISO 42001, and CRISC-aligned risk controls — into enforceable, auditable organizational controls. She is particularly skilled at bridging the gap between emerging technology risk and the legal, compliance, and policy functions that govern it, making her an effective advisor to both technical teams and executive leadership.

As the author of The AI Profitability Gap, she has developed a practitioner-focused AI governance playbook for executives that reframes compliance not as a cost center, but as a strategic driver of sustainable AI value — equipping organizations to move from policy intent to operational execution through her proprietary 3Ps framework (Purpose, Process, Policy).

Beyond her advisory work, Dr. Marshall is a compliance educator and thought leader who translates emerging regulatory risk into practitioner-ready guidance — including two accredited CLE programs: Where AI Quietly Violates Civil Rights: Detecting Algorithmic Discrimination in Modern Systems (Virginia State Bar MCLE-approved) and AI, Privilege & Discovery in the Age of Generative Tools: What Every Attorney Needs to Know Now (DC Bar, 2 credits) — reflecting her ability to translate complex AI risk and privacy compliance concepts into actionable guidance for heavily regulated industries.

Dr. Marshall’s international career — spanning roles at Amazon Robotics, Novo Nordisk, NASA, and Procter & Gamble across five continents — equips her with the cross-jurisdictional perspective that complex privacy and AI compliance engagements increasingly demand.

AI Governance & Privacy Compliance Leader | Technology Risk, Responsible AI & Information Governance

Explore My Background and Expertise across Data Privacy and AI Governance, Risk, & Compliance

Professional Overview

Focused on embedding governance, risk, and compliance directly into how AI systems are designed, developed, and deployed.

Academic & Career Experience

Ph.D. Engineer with 18+ years of leadership in governance, risk, and compliance–driven digital transformation and AI solutions across global, fast-paced, highly regulated environments.

Core Expertise

Translator of global AI policy into operational controls that enable compliance, trust, and profitability.

Thought Leadership

Published author and creator of original frameworks grounded in real-world environments, translating policy, governance, and compliance into safe, scalable, and profitable operational practice.

Advisory & Speaking

Advisor and speaker on AI governance, risk, and responsible deployment for enterprise, policy, and technical audiences.

Why Leaders Trust Shakeeia to Operationalize Data Privacy, Responsible AI Governance & Regulatory Compliance at Scale

Proven GRC Leadership

Dr. Shakeeia Marshall has a proven track record of leading governance, risk, and compliance initiatives across complex, fast-paced, and highly regulated environments—delivering outcomes, not just frameworks.

Policy-to-Operations Execution

Dr. Marshall brings specialized expertise translating global Cyber & AI policy/ regulatory requirements into concrete, auditable operational controls embedded in sustainable & adaptable workflows

Academic and Practical Expertise Across AI-Product Lifecycle

Dr. Marshall combines advanced academic training with proven operational experience across the AI product lifecycle. From development and deployment through iteration, monitoring, and scale, she applies research-informed thinking to real-world AI systems—ensuring governance, risk, and compliance are embedded in execution. This approach delivers solutions that are both rigorous and operationally effective.

Commitment to Ethical AI

Dr. Marshall’s commitment to ethical and responsible AI is expressed through disciplined governance, risk management, and accountability mechanisms embedded directly into AI systems and organizational processes. Rather than treating ethics as a principle in isolation, she operationalizes ethical considerations across the AI product lifecycle—ensuring transparency, oversight, and responsible decision-making at scale.

Executive FAQs

In what contexts does Dr. Marshall operate—policy, technical, or operational?

Dr. Marshall operates at the intersection of all three, translating policy and regulatory requirements into operational controls that function within real technical environments. Her work is deeply cross-functional, partnering with engineering, product, legal, policy, and operations teams to ensure governance mechanisms are executable at scale.

What differentiates Dr. Marshall’s approach to compliance?

Dr. Marshall’s approach differentiates itself through an execution-first focus on optimizing underlying workflows so compliance is adaptable, scalable, and sustainable as organizations grow. Rather than layering controls onto existing processes, she designs compliance mechanisms that align naturally with how teams operate. A core element of this approach is explicitly distinguishing between operational risk and regulatory risk, ensuring controls are purpose-built and appropriately targeted. This separation enables organizations to manage business risk without over-constraining execution, while maintaining clear, auditable controls that satisfy regulatory and oversight requirements.

What is Dr. Marshall’s perspective on scaling compliance and governance in fast-paced, highly ambiguous environments?

Dr. Marshall views scale in fast-moving and ambiguous environments as an operational design challenge, not a documentation problem. Her approach emphasizes building adaptive governance infrastructure—workflows, controls, and reporting mechanisms that are resilient to change and can evolve as regulatory expectations, system capabilities, and organizational maturity shift. Rather than overfitting compliance programs to static interpretations of regulation, she prioritizes clarity of ownership, proportional controls, and early risk visibility, enabling organizations to move quickly while maintaining accountability. This approach supports responsible scaling by reducing rework, avoiding brittle compliance structures, and preserving decision-making velocity in the absence of complete regulatory certainty.

Let’s Connect

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Dr. Shakeeia Marshall, Ph.D., M.S., PgMP, CRISC

Washington D.C., DC, USA

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AI Governance & Privacy Compliance Leader | Technology Risk, Responsible AI & Information Governance

Explore My Background and Expertise across Data Privacy and AI Governance, Risk, & Compliance

Why Leaders Trust Shakeeia to Operationalize Data Privacy, Responsible AI Governance & Regulatory Compliance at Scale

Executive FAQs

Leading at the Intersection of AI Policy, Governance, and People

Let’s Connect