Ethan Oppenheim | 2013 Deloitte Lifer
The consulting model is shifting. Clients don’t need a diagnosis and a deck, they need someone who can understand the problem and build a solution on the spot. That’s the forward-deployed mindset, and I’ve been operating this way since 2013, rapidly building custom accelerators, demoing them to clients before an RFP ever exists, and turning live products into sole-sourced projects. For years, that made me the edge case. Now it’s how all of us must operate.
Getting therapies to patients through payers, pricing regulations, and reimbursement systems is where surface-level understanding falls apart. The problems are too nuanced, the data too messy, the stakes too high. This is not a space where generic AI solutions work. It demands deep domain expertise built over years of working inside these organizations, understanding the regulations, the data structures, and the commercial pressures that drive every decision. I have built in this space across every technology wave: analytics platforms, ML models, and now generative and agentic AI. Each generation made the solutions more powerful, but only because the domain expertise was already there.
The ultimate measure of success in life sciences is whether therapies reach the patients who need them. Patient services, from hub operations and copay programs to specialty pharmacy coordination, is where strategy becomes reality. I have built solutions across this value chain that connect the dots between commercial strategy and patient outcomes: platforms that track patient journeys, analytics that optimize program performance, and AI tools that predict and close gaps in access. When Market Access opens the door, Patient Services walks patients through it.
AI is not the destination. It is the accelerant. Every solution I build is powered by a technical foundation that has evolved with each wave: from Tableau-driven analytics factories to predictive ML models to the generative and agentic AI systems we deploy today. The difference is not just knowing how to use the technology. It is knowing how to architect, build, and ship production-grade AI products that solve real commercial problems. While others present frameworks and roadmaps, we walk into the room with a working product the client can interact with from the first meeting.
Market Access is where the strategy lives — navigating payers, pricing, and reimbursement in one of pharma's most complex spaces. Patient Services is where the impact lands — connecting therapies to the people who need them. AI & Engineering is what makes it all faster, smarter, and scalable. The value is in being the bridge across all three — and in the multi-disciplinary network that makes it possible.
Teva
Eli Lilly
Gilead
Abbott
AstraZeneca
Astellas
What Clients & Leaders Are Saying
"We chose Deloitte because Ethan showed up with a working AI prototype, while others showed up with slides."
"These demos are light-years ahead of what everyone else has shown us is possible with AI."
"I'm trying to get everyone to do what Ethan is doing. I need him to show them all how."
The Case for Partnership
Ethan Oppenheim | 2013 Deloitte Lifer | Market Access AI Practice Lead
Domain + Execution
Network
Track Record
The Opportunity
Everyone is an AI expert until it is time to build.
Ethan builds it, sells it, delivers it, and has the track record to prove it.