About
Kenny Okeke

I'm a Product Manager with a background in mechanical engineering, consulting, and an MBA, focused on building products that operate at scale in complex, real-world environments. My path into product has been shaped by hands-on execution, customer problem-solving, and structured decision-making across technical and business contexts.

Kenny Okeke

A look at the path, the pivots, and the experiences that shaped how I think about product.

My professional experience spans engineering, consulting, and project-based roles, where much of my work centered on solving real client problems within practical constraints. I've led 50+ projects and initiatives with a total portfolio of $10M+ end-to-end, working across 15+ cross-functional teams and covering early definition, execution, and close-out.

In consulting environments, I partnered closely with customers to understand their needs and clarify ambiguous requirements, translating those needs into solutions delivered across diverse teams. This often meant working across technical and non-technical stakeholders, aligning expectations, timelines, and priorities, and ensuring solutions were grounded in operational reality and client value.

Across these roles, I also spent time on the client side of engagements, where I was responsible for specifying requirements and articulating needs. Experiencing work from this perspective reinforced how critical clear problem definition and shared understanding are to successful outcomes, strengthening how I approach collaboration and execution today.

Over time, I began to recognize a consistent pattern in the work I gravitated toward. Across my roles, I was drawn to solving customer problems, making decisions under uncertainty, and aligning teams around a clear direction. I was already working as a Product Manager.

Outside of formal work settings, conversations centered on technology and how products are designed and experienced helped crystallize this realization. I realized that my way of thinking extended beyond my role and into how I engaged with the technology I used every day. I became increasingly interested not just in using technology, but in the systems and design decisions behind the tools themselves.

Rather than viewing product management as a transition, I came to see it as a formalization of responsibilities I had already taken on, combined with a desire to build technology-driven products I genuinely care about. I pursued an MBA to sharpen my judgment through structured decision-making, data analysis, and evaluating tradeoffs across customers, teams, and scale — allowing me to operate more intentionally as a product manager in technical environments.

I view product management as operating at the intersection of desirability, feasibility, and viability. Strong product decisions sit where customers genuinely want a solution, technology can realistically support it, and the business can sustain it over time.

In practice, I ground decisions in customer insight to understand desirability, partner closely with engineering to assess feasibility, and evaluate options through the lens of business impact and scale to ensure viability. My role is to navigate the tradeoffs between these dimensions and bring clarity when priorities compete.

Working in this space requires comfort with ambiguity and accountability for decisions. I focus on making calls that hold up across customer needs, technical realities, and business constraints, while keeping teams aligned around a shared direction as work evolves.

The academic and professional qualifications behind the work.

Academic Institutions

UT Austin

The University of Texas at Austin

McCombs School of Business

Master of Business Administration

Product Management and AI Strategy Concentration

Hover or tap to view coursework

Relevant Coursework

  • Product Management
  • AI in Business and Society
  • AI for Competitive Advantage
  • Business Analytics & Decision Modeling
  • SQL for Business and Marketing
  • Design Thinking & Business Innovation
  • Corporate Strategy & Firm Growth
  • Analysis of Markets
  • Performance and Sports Analytics
  • Marketing Analytics
  • Digital Marketing
  • Strategic Branding
  • New Venture Creation
  • Managing & Marketing in Global Arena
University of Alberta

The University of Alberta

Faculty of Engineering

Bachelor of Science in Mechanical Engineering

Cooperative Program

Hover or tap to view coursework

Relevant Coursework

  • Design Project
  • Computer Programming for Engineers
  • Engineering Economy
  • Operations Management
  • Behavior in Organizations
  • Engineering Safety & Risk Management
  • Mechanical Design I & II
  • Engineering Graphics & CAD
  • Feedback Control Design
  • Numerical Methods

Academic Honors

The University of Texas at Austin

Beta Gamma Sigma Member Badge

Beta Gamma Sigma

National Honor Society

Top 20% of graduating MBA class at AACSB-accredited schools.

Hover or tap to learn more

The University of Alberta

University of Alberta Engineering

With Distinction

Engineering Graduation Average (EGA) of 3.5 or greater.

First-Class Standing

GPA of 3.5 or greater across qualifying academic terms.

Hover or tap to learn more

Project Management Professional (PMP)

Project Management Institute (PMI)

Product Management

Pragmatic Institute

A snapshot of the tools, methods, and practices I apply across my work. Hover or tap any card to learn more.

Product Strategy

Grounding decisions in clear problem definition, aligning customer needs with business objectives and technical realities.

Requirement Definition

Translating ambiguous customer needs into structured, actionable requirements that bridge business intent and technical execution.

Feature Prioritization

Evaluating opportunities by impact, effort, and strategic fit to make clear tradeoff decisions that keep teams focused on what matters.

Roadmapping

Sequencing work around impact, dependencies, and constraints to provide clarity on direction without sacrificing adaptability.

Stakeholder Management

Building relationships, managing expectations, and navigating competing priorities across technical and business stakeholders throughout the project lifecycle.

Stakeholder Alignment

Translating insights into decision-ready recommendations and aligning diverse teams around a shared direction.

User Research

Conducting interviews and observation to uncover patterns and translate qualitative insight into clear product direction.

Product Metrics

Defining success metrics and KPIs that reflect real user and business outcomes, and using them to evaluate whether decisions are actually working.

A/B Testing

Designing controlled experiments to validate product decisions with real user data, reducing guesswork and building confidence before full rollout.

Data Analysis

Using Excel, R, SQL, and Tableau to analyze datasets, validate hypotheses, and quantify tradeoffs tied to customer and business context.

Prototyping

Building low-fidelity concepts to test assumptions, gather feedback, and align stakeholders before committing resources.

Agile Methodologies

Managing backlogs, sprints, and cross-team workflows to keep delivery organized and progress visible across stakeholders.

AI/LLM Tools

Applying tools like Claude, ChatGPT, Cursor, and Perplexity to accelerate research, writing, and development workflows.

Cloud Infrastructure

Working with cloud infrastructure fundamentals to collaborate effectively with engineering teams on architecture and deployment decisions.