Lead requirements discovery: Gather, analyze, and document business requirements while aligning with global stakeholders (e.g., US-based PM, China and Philippines operations teams).
Define solutions: Identify business pain points and propose end-to-end solutions, including workflows, wireframes/prototypes, and feature prioritization.
Manage product backlog: Translate business needs into well-defined epics and user stories with clear acceptance criteria.
Collaborate on technical feasibility: Work closely with engineering and architects to assess feasibility, define dependencies, and balance scope, timeline, and quality.
Drive cross-functional delivery: Coordinate across frontend, backend, data, QA, DevOps, UI/UX, and other product teams; manage risks, changes, and releases.
Facilitate Agile processes: Lead backlog grooming sessions and actively participate in sprint planning, reviews, and retrospectives.
Support testing and releases: Oversee UAT, manage defect triage, prepare release notes, and ensure smooth post-release follow-ups.
Track performance and improvements: Monitor delivery and product metrics to continuously enhance processes and product quality.
Required Qualifications
At least 3 years of experience in product ownership, business analysis, system implementation, or IT/enterprise consulting.
Bachelor's degree in Computer Science or a related field (or equivalent experience).
Strong skills in requirements engineering (discovery, documentation, prioritization, stakeholder management).
Solid understanding of web applications and system integration, including APIs, databases, data flows, and authentication basics.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Strong English proficiency (spoken and written) for daily collaboration with global teams (US and China).
Fast learner with the ability to quickly adapt to new domains and technologies.
Self-motivated, accountable, and able to thrive in a fast-paced environment.
Preferred / Nice to Have
Experience with AI/ML products, OCR, or document/data extraction workflows.
Background in insurance, fintech, or enterprise SaaS.
Familiarity with data analysis tools (e.g., SQL, BI tools) and defining product metrics.
Experience working in Agile environments.
Hands-on experience with tools such as Jira, Confluence, Figma, Postman, and Swagger/OpenAPI.
