Profile
Senior Product Owner with 8 years driving B2B SaaS products from discovery through launch across fintech and HR-tech verticals. Expert in Agile/SAFe frameworks, OKR alignment, and cross-functional stakeholder management. Grew a flagship payroll platform's NPS from 31 to 67 and reduced average sprint cycle time by 22% within 18 months.
Work Experience
- Owned the roadmap for a cloud-based payroll platform serving 1,200+ enterprise clients, prioritizing 6 quarterly epics that drove a 34% increase in feature adoption within 12 months.
- Facilitated 3-week sprint ceremonies for a 14-member cross-functional squad, reducing defect escape rate by 41% through tightened Definition of Done criteria and mandatory exploratory testing gates.
- Collaborated with Sales and Customer Success to define and validate 11 new product capabilities, converting 4 into GA releases that contributed $2.8M in net-new ARR in FY 2023.
- Managed the backlog for an applicant-tracking module used by 400+ mid-market clients, cutting average time-to-hire reported by customers from 28 days to 19 days after two major feature releases.
- Led discovery for a self-service analytics dashboard, conducting 60+ user interviews and synthesizing findings into 22 prioritized user stories that shipped on schedule with zero critical post-launch defects.
- Partnered with the data engineering team to migrate legacy reporting infrastructure to a modern event-streaming architecture, reducing report generation latency by 68% and eliminating 3 recurring P1 incidents per quarter.
- Supported two senior POs on a consumer lending portal, writing acceptance criteria for 80+ user stories across 8 sprints and achieving a 95% story-point completion rate over 6 consecutive sprints.
- Conducted competitive analysis across 7 rival products and presented findings that directly informed a UX overhaul, increasing checkout conversion rate by 18% in A/B testing.
- Coordinated UAT sessions with 3 enterprise pilot clients, capturing and triaging 140 feedback items that were resolved before general availability, preventing an estimated $200K in post-launch support costs.