• Spearheaded the product vision and roadmap for enterprise financial crime detection platforms, aligning OKRs with compliance objectives and increasing suspicious activity detection efficiency by 31%.

• Architected data-driven product discovery initiatives using Jobs-to-Be-Done analysis, user segmentation, and customer journey mapping, improving analyst workflow efficiency by 27% across AML and fraud investigation teams.

• Directed cross-functional delivery of compliance platform enhancements through Agile sprint planning, backlog prioritization (RICE framework), and PRD development, accelerating feature release cycles by 34%.

• Implemented advanced product analytics leveraging SQL, Python, Mixpanel, and Power BI to perform funnel and cohort analysis on investigation workflows, increasing case resolution rates by 22% and improving investigator productivity.

• Orchestrated large-scale experimentation programs using A/B testing and behavioral analytics, optimizing onboarding flows for internal compliance tools and increasing analyst activation and engagement by 19%.

• Led the end-to-end product strategy for an enterprise workflow automation platform, defining North Star metrics and PLG growth initiatives that increased enterprise user adoption by 29% within the first year of deployment.

• Designed detailed PRDs, functional specifications, and user stories in Jira and Confluence, enabling engineering teams to deliver scalable workflow modules that reduced operational processing time by 26%.

• Conducted competitive landscape and gap analysis across leading workflow management platforms, informing roadmap decisions that drove 18% improvement in feature adoption among enterprise clients.

• Optimized feature prioritization using RICE and MoSCoW frameworks, aligning sprint planning with customer value metrics and improving release predictability by 23%.

• Executed go-to-market launches for key workflow automation capabilities, partnering with sales and marketing teams to drive 17% growth in enterprise subscriptions across target industries.

• Initiated product discovery initiatives for enterprise security platforms using JTBD frameworks and market segmentation, identifying high-impact feature opportunities that increased product adoption by 24%.

• Analyzed product usage data through SQL-based behavioral analytics and cohort analysis, uncovering retention drivers that improved platform stickiness by 19%.

• Executed controlled experimentation using A/B testing frameworks, validating new alert management features that reduced false-positive incident alerts by 33%.

• Built executive product dashboards using Power BI and advanced Excel models, providing leadership with KPI tracking across activation, retention, and customer engagement metrics.

• Streamlined backlog grooming and sprint execution through Jira-based Agile workflows, increasing development throughput by 25% and reducing release delays.

• Supported cross-functional product rollouts and user onboarding programs, improving enterprise customer onboarding speed by 21% while strengthening collaboration with engineering and design teams.