Leadership & Impact
Selected examples of large-scale transformation programs, AI-enabled automation initiatives, and enterprise system modernizations that delivered measurable cost, productivity, and experience improvements.
AI-Driven Accounts Payable Transformation at Amazon
The Challenge
Amazon’s Accounts Payable operation was processing $219B in annual payments and 52M invoices across global markets—but the underlying case management platform was manual, brittle, and couldn’t scale with volume growth. Rising costs, inconsistent vendor experience, and mounting technical debt created a compounding drag on the business.
What I Did
I owned the end-to-end modernization of Amazon’s AP case management platform, leading the business case, defining requirements, and ensuring the LLM-driven automation solution actually solved operational problems at scale—not just technical ones.
The core decision: embed AI directly into workflow automation rather than bolt it on as a separate layer. I built a cross-functional team spanning finance operations, engineering, and data science—then translated business requirements into technical specifications the engineering team could execute against.
My role wasn’t writing code. It was defining what “good” looked like, sequencing delivery to prove value fast, building stakeholder trust through transparent governance, and holding the team accountable for shipping production-grade automation that the business could actually run on.
I personally drove the shift from “pilot mode” to “run the business on this” by establishing clear success metrics, managing risk with phased rollouts, and proving the system could handle edge cases without blowing up operations.
The Results
- 84% automated processing rate across global AP operations
- 34% productivity improvement, freeing capacity for higher-value work
- Sustained cost reduction – contributed to a 31% reduction in variable operating cost per unit over four years
- Production system at scale – not a demo or proof-of-concept, but the platform running Amazon’s retail AP operations today
This wasn’t an AI experiment. It was an operational transformation that delivered durable business impact.
The M&A integration at NTT DATA demonstrates my ability to handle high-stakes organizational complexity and rapid systems consolidation—a different type of transformation challenge.
Global Workforce Management Integration Following Major M&A
The Challenge
NTT DATA acquired a competitor and doubled its global workforce overnight—from 20K to 45K employees across 26 countries. Workforce management systems, HR platforms, and contingent labor operations were incompatible, creating immediate operational risk and long-term scalability problems.
What I Did
I was pulled in to lead the integration because the business couldn’t afford to get it wrong. I owned the consolidation of workforce systems into a single global operating model, prioritizing speed and stability over perfection.
The hard part wasn’t the technology—it was sequencing decisions under pressure, aligning regional leaders with competing priorities, and ensuring 25,000 employees could be onboarded into unified systems within four months without breaking payroll or talent acquisition.
I built the governance structure, made the trade-off calls, and held the workstreams accountable for delivery. When things slipped, I resequenced rather than let the program drift.
The Results
- Delivered on time and 15% under budget
- Unified workforce systems for a 45,000-employee global organization
- Onboarded 25,000 employees in four months post-merger
- Created a standardized migration playbook that reduced future M&A integration time by up to 30%
This wasn’t a greenfield build. It was high-stakes integration under tight timelines with no room for failure.
Next Steps
If you’re leading a transformation or platform modernization effort and need someone who can own delivery—not just advise on it—let’s talk.