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Angela Miller Lewis reflects on her career path, academic foundations, leadership philosophy, and what she believes future intelligence professionals need most right now. 

How did your experience as a Senior Targeting Officer with the CIA shape your understanding of global intelligence work? 

I grew up in the Midwest, and for a long time “the world out there” felt abstract — something you read about in books or saw on the news. I didn’t actually travel abroad until my twenties, and living and working overseas completely changed how I understood global events. Suddenly, intelligence wasn’t theoretical anymore. It was tied to real places, real people, and real consequences. 

What struck me most was how similar people are everywhere — everyone wants safety, opportunity, dignity — but how differently those needs show up depending on culture, history, and circumstance. Working alongside partners from different countries forced me to slow down my assumptions and really listen. It taught me that perspective matters, and that good intelligence depends as much on empathy and context as it does on data. 

That experience made the “big picture” tangible for me. I saw how decisions made in one part of the world ripple outward, affecting communities, markets, and security far beyond national borders. It’s also what shaped my approach to intelligence today: it’s not just about collecting information — it’s about making sense of complexity in a way that helps people make better decisions in the real world. 

What surprised you most about how intelligence functions in the private sector after moving from government roles to companies like Disney, Salesforce, and Creative Artists Agency? 

What surprised me most was how familiar the work itself felt — and how unfamiliar the concept of “intelligence” often was to business leaders. At its core, intelligence doesn’t really change between the public and private sectors. It’s still about making meaning from data, providing context, and helping decision-makers navigate uncertainty. You’re still supporting both operational choices and longer-term strategy. That part translated almost seamlessly. 

The bigger adjustment was realizing that many private-sector leaders don’t have an intuitive understanding of what intelligence can do for them. In government, decision-makers grow up with intelligence as part of the system. In business, you often have to explain — and demonstrate — its value from scratch, even though it’s incredibly useful at senior levels. 

Another major difference is how risk is defined. In the private sector, reputational risk carries a different weight, and financial performance and shareholder expectations are always part of the equation. That changes how intelligence is framed and delivered. You’re not just thinking about security or geopolitics — you’re also factoring in brand, markets, employees, and customers. 

Ultimately, it showed me how powerful intelligence can be outside government — and how much opportunity there is to help organizations use it more intentionally to make better, more informed decisions. 

What skills are most critical for private sector intelligence teams today, and how can NSIA students begin preparing? 

Two skills stand out above everything else: critical thinking and communication. 

We’re living in an era of information overload. Intel professionals are constantly bombarded with data from open sources, social media, internal systems, and now AI-enabled tools — and not all of it is accurate, credible, or useful. Being able to evaluate sources, understand data provenance, and separate signal from noise has never been more important. 

Equally important is the ability to communicate clearly and concisely. Executives have limited time and are making dozens of decisions every day. Intel professionals have to provide context quickly, highlight implications, and deliver insights in a way that actually lands. 

AI adds another layer. It offers incredible scale and speed, but it also amplifies the challenge of evaluation. Intel professionals need to understand how to leverage AI ethically and responsibly while maintaining analytic rigor. 

For NSIA students, preparation starts with building strong critical thinking habits, practicing concise writing, and getting comfortable presenting complex ideas simply. Technical skills matter — but the ability to think clearly under uncertainty and communicate with impact is what really sets professionals apart. 

What did you examine in your doctoral research? 

My doctoral research examined how geopolitically focused intelligence teams operate inside large private-sector organizations — and what actually helps them succeed in complex, fast-changing environments. 

Using a systems theory lens, I explored how people, processes, leadership expectations, organizational culture, and decision-maker needs interact. Rather than treating intelligence as a linear cycle, I looked at it as a living system that constantly adapts. 

I found that successful teams tend to share common traits: strong critical thinking, alignment with decision-makers, adaptability, and clear communication — while facing challenges like unclear expectations and reactive workflows. 

The research reinforced that intelligence teams thrive when they’re intentionally designed to support evolving organizational needs. That work continues to shape how I teach and train analysts today. 

How do your academic interests shape the way you teach critical thinking? 

My academic interests center on how people think — especially under uncertainty. Concepts like bounded rationality and cognitive bias directly shape how I teach. 

Rather than presenting intelligence as a rigid checklist, I help students understand how their own minds work — where assumptions creep in and how biases influence judgment. Structured analytic techniques become tools for building better habits, not mechanical steps. 

Most real-world problems aren’t linear. I encourage students to embrace complexity, think in systems, and stay comfortable with uncertainty while still making judgments. 

Ultimately, my goal is analytical rigor paired with self-awareness — the combination that produces intelligence that actually supports decision-making. 

What skills matter most for NSIA students entering the intelligence field today? 

Strong critical thinking, communication, adaptability, and an understanding of AI are essential across both government and corporate environments. Intelligence professionals must form sound judgments under uncertainty, translate complexity into clarity, and remain flexible as technologies and environments evolve. 

Above all, self-awareness and resilience sustain long, successful careers in this field. 

What advice do you give those entering or transitioning into intelligence careers? 

Be curious. Do your research. Build relationships. Intelligence skills are highly transferable, but success depends on understanding context and learning how decisions are really made. Relationships accelerate growth in ways technical skills alone cannot. 

What excites you most about training future intelligence professionals now? 

We’re at an inflection point for the profession. Geopolitical uncertainty and AI are reshaping intelligence, and how we train students today will influence decisions that affect communities and organizations for years. 

Helping students develop integrity, curiosity, empathy, and thoughtful use of technology — alongside traditional analytic skills — is deeply meaningful. It’s not just about techniques; it’s about shaping how future leaders approach uncertainty and responsibility. 

Learn more about the National Security Intelligence Analysis (NSIA) program, its faculty, and research: