More and more organizations are hiring a new role: a Deployment Strategist. But what does a Deployment Strategist do, and why do far more organizations need them even if they’ve never considered it before? When looking at organizations that merge digital and physical processes, it’s essential that technology isn’t developed in isolation from real-world needs, and that’s where Deployment Strategists come in. They embed with teams on the ground to map workflows, shadow employees, and identify the real pain points that boardroom strategy alone can miss. From there, they design and refine processes, translate business needs into technical requirements, and work with engineers and product teams to ensure tools fit seamlessly into daily operations. They also play a critical role in driving adoption by training users, creating playbooks, and aligning stakeholders so everyone feels invested in the solution. 

Their work doesn’t stop at launch. Deployment Strategists continuously monitor performance by checking data pipelines, validating outputs, and ensuring the technology is achieving the intended outcomes. They gather feedback directly from users, spot inefficiencies or breakdowns, and feed those insights back into product development to improve future iterations. In doing so, they sustain and scale the impact of new systems, turning technology investments into durable business value. By combining strategy, execution, and iteration, Deployment Strategists make sure organizations don’t just implement tools, they implement the right tools, in the right way, for lasting results.

This role isn’t just a pipe dream that I’ve created, many large organizations such as Palantir, Valon, Kaizen Labs, Salesforce and others have added this role to their arsenal. Typically this is a role that works very closely with many members of the team: product and design teams to inform insights from customers, engineers to build quick prototypes to test the impact of future changes, sales teams to work on the onboarding process, marketing teams to identify customer pain points, and many others across the entire flow.

Now while this role may not be on your team yet, I think I have the potential to make an impact in your organization with this type of generalist role. I have a technical background in engineering from the University of Waterloo, have served in various different roles involving people and data, and am passionate about driving impact at a mission-driven organization.

I am the perfect person for this type of role because I’ve consistently worked at the intersection of strategy, technology, and people, translating complex systems into solutions that create measurable value. Some of my key accomplishments include the following:

My work has always been about more than just execution, it’s been about identifying the right problems, aligning diverse groups around a clear solution, and ensuring adoption so that the impact lasts. At an organization like yours some of the outcomes I could focus on are increasing adoption, decreasing turnover, strategizing product improvements, and improving communication between your team and your customers.

Across industries, gaming, trust and safety, venture capital, and public sector, I’ve proven I can embed myself in different contexts, rapidly learn the workflows, and uncover where technology can drive change. At KPMG I built a roadmap that created new revenue opportunities with 2 new business lines, at AccuWeather I helped launch an entirely new platform experience into over 39,000 Volvo cars, and in my capstone I applied machine learning to reduce energy waste for technicians by leveraging telemetry data. These experiences taught me that successful deployment isn’t just about building the right tool, but ensuring it integrates into people’s processes and earns their trust. That perspective allows me to step into any team, translate between technical and business stakeholders, and deliver outcomes that make an organization measurably better. 

Looking forward, I see AI as a way to scale and amplify the benefits I bring. By embedding AI into the processes I help design, I can automate routine tasks, surface insights faster, and enable solutions that adapt as conditions evolve. For example, aligning stakeholders and building adoption are critical, but AI can make those efforts more powerful by personalizing experiences at scale, flagging risks earlier, and continuously learning from data to refine outcomes. This ensures that the improvements I drive don’t just solve today’s problems but compound over time, helping organizations grow stronger, more efficient, and more resilient.