Own product roadmap and backlog for AI-powered tax assistance workflows serving 1M+ active users, prioritizing features aligned with compliance updates and customer support insights, increasing feature adoption by 24%.

Convert regulatory changes and stakeholder requirements into detailed PRDs, user stories, and acceptance criteria using Jira and Confluence, reducing post-release defects by 19% across multiple sprint cycles.

Partner with ML and engineering teams to refine document classification and anomaly detection models, aligning product KPIs with model evaluation metrics and improving automated decision accuracy by 17%.

Lead sprint planning and cross-functional execution across engineering, UX, analytics, and compliance teams to deliver real-time eligibility validation features, reducing manual review turnaround time from 48 hours to under 8 hours.

Define and monitor product success metrics using SQL-driven dashboards and A/B testing frameworks, identifying friction points in onboarding flows and improving completion rates by 13%.

Coordinate AI feature launches during peak filing season, aligning legal, compliance, and operations teams to ensure stable rollout while maintaining 99.9% platform availability under high traffic conditions.

Defined product strategy for an enterprise workflow automation platform, launching an OCR-driven intelligent document processing module that reduced document turnaround time by 29% while sustaining 99%+ extraction accuracy.

Led customer discovery and usage analytics using SQL and Excel to identify adoption bottlenecks, prioritizing backlog enhancements that increased feature utilization by 26% and improved gross margin by 11%.

Owned end-to-end backlog management, authoring PRDs, epics, and acceptance criteria in Jira, coordinating three cross-functional squads to accelerate release velocity by 22% while maintaining 99%+ platform stability.

Drove API-first product integrations with banking and CRM ecosystems using REST-based microservices on AWS, reducing enterprise client onboarding timelines by 36% while aligning with SOC2 and GDPR compliance.

Partnered with sales and go-to-market teams to deliver executive demos and pilot launches, leveraging Power BI dashboards to demonstrate ROI, increasing deal conversion rates by 18% and expanding ACV by 21%.

Established KPI frameworks tracking adoption, latency, and retention, leading A/B experiments and workflow optimizations that improved task completion rates by 24% across 28K+ monthly business users.

Gathered and translated business requirements for enterprise workflow automation across lending and KYC operations, documenting BRDs and process maps that reduced manual approval cycle time by 21% across 15K+ monthly transactions.

Conducted stakeholder workshops with compliance, operations, and IT teams to identify process inefficiencies, leading gap analysis initiatives that eliminated 17% redundant validation steps and improved SLA adherence.

Designed SQL-based data analysis queries to evaluate transaction failure patterns and workflow bottlenecks, delivering insights that reduced exception rates by 14% through rule refinement.

Collaborated with engineering teams to define functional specifications, API requirements, and integration logic for banking CRM and document management systems, reducing post-release requirement change requests by 23%.

Built KPI dashboards in Power BI to track turnaround time, approval ratios, and operational throughput, enabling leadership to identify productivity gaps and improve team performance by 16%.