Fraud decisions in milliseconds. Customer conversations that have to resolve. Audit-ready compliance software. AI that has to trace every piece of evidence to its source. 12+ years leading product across US healthcare, fintech, conversational AI and European proptech.
Roles at
A GenAI engine that traces every piece of HEDIS evidence to its source, a fraud platform that decides in milliseconds, and an underwriting workflow that cut days to hours. Each case study covers the challenge, the decisions and their trade-offs, and how the results were measured.
A staged LLM workflow with deterministic dates, richer metadata, and evidence traced to its source line, page and table cell.
New detection capabilities, a faster and more accurate review operation, and packaging for smaller merchants.
AI-assisted sourcing across Germany, Spain and the UK, and underwriting driven by property descriptions and images.
Want the detail behind a number? Set up a call and I'll walk you through how it was measured.
I built Reveleer's India GCC product practice from the ground up and designed the follow-the-sun operating model it runs on: 5 PMs across India, US East and US Pacific.
The shared window falls at the end of the India day.
Mid-morning, so decisions made live can be acted on the same day.
Start of the day, with the India team's handoff already written up.
Written handoffs, async updates in the project tool and recorded demos.
Times shown in US standard time. During US daylight time, the window starts an hour earlier in IST.
About two hours a day for stand-ups, planning and reviews. The stand-up slot rotates so no time zone always gets the inconvenient hour.
Joint sprint planning, sprint reviews mixing live and recorded demos, and retrospectives that collect feedback asynchronously before a live discussion.
Handoffs, cross-zone coordination and escalations each have an owner, and every team knows the goals, processes and communication rules.
The case studies go deep on three products. These are the other results I'd point a hiring manager to.
I started in engineering, moved into a client-facing role, then into product leadership.
Core team shaping the Unified Value-Based Care Platform initiative. Own the Clinical Quality domain. Lead 5 PMs across three time zones. GenAI HEDIS evidence extraction with the AI team. Case study
MA RADV and OIG audit-readiness software (+22% upsell). NextGen Quality platform with 52 HEDIS measures. Embedded agile ceremonies adapted for three time zones. Associate Director scope.
AI-assisted sourcing across Germany, Spain and the UK. Underwriting from about 3 days to 2 hours. GPT-3 property-data extraction. IMMOCore migration (+30% operational efficiency). Case study
Moved Freshchat from a rule-based bot to a conversational AI assistant. Task completion +40%, human escalations −40%, answer accuracy +20%, NPS +33 points.
Real-time fraud prevention for card-not-present merchants. Led a 40-person organization. Fraud rate 0.3% to 0.01%, review accuracy 99.99%, +40% revenue. Case study
Strategic account across 3 regions (30+ people). Led a 60+ person APAC team on SAP integration.
The numbers show what shipped. These are from an engineer who reported to me, and two senior product leaders I worked with at IMMO.
She supported me extensively in applying AI to create industry-first solutions in the Residential Real Estate space as part of our cross-functional project. I endorse her for any role that requires influencing decisions without formal authority while navigating conflicts to take the Product forward.
I am still in awe of how she understands the client pulse and manages their expectation with ease. … No matter what the deadlock situation, she brings in calmness to the meeting room and at the end, we would have walked out with a solution sans the panic.
Sugirda has a remarkable ability to prioritize tasks effectively, and provide updates that those who work cross-functionally can grasp and make sense of. As a team manager, she fostered a collaborative and positive work environment that motivated everyone to perform at their best.
Read all nine recommendations on LinkedIn (opens in a new tab)
A 30-minute intro call is the quickest way to find out if there's a fit. Email me with the role and a few times that work for you.