Project Execution & Delivery
- End-to-End Ownership: Orchestrate the delivery of key projects, ensuring all milestones are met on time and within scope.
- Resource Management: Lead high-speed "squads" of designers and engineers, optimizing resource allocation to integrate complex AI features into existing client workflows.
- Change Management: Navigate fluid project environments by maintaining adaptive roadmaps that respond to real-time data shifts without sacrificing core objectives.
- Managed full product lifecycle, from ideation through post-launch support, ensuring consistent quality control measures were in place.
- Risk Mitigation: Conduct continuous risk assessments to identify technical bottlenecks early and develop contingency plans that maintain project momentum.
Strategic Leadership & R&D
- Executive R&D Team: Appointed by the CTO as one of four key leaders (alongside Head of PM and Head of Data Science) to spearhead the research and development of proprietary AI tools and product offerings.
- Commercial Impact: Evaluate ROI by balancing AI model operational costs against revenue generation; conduct "Build vs. Buy" research to optimize company expenditure.
- Stakeholder Advocacy: Serve as the primary point of contact for external clients and the C-suite, translating high-level business requirements into actionable technical tasks.
Client Relations & Operations
- Process Revamp: Main contributor in the 2024-2025 overhaul of the Client Activation and Onboarding process, resulting in a more streamlined, scalable experience for new partners.
- Successful Onboarding: Personally managed the end-to-end onboarding of two major clients, ensuring flawless execution of initial project phases and long-term relationship stability.
- Documentation & Reporting: Automated manual reporting into real-time dashboards for product health; maintain exhaustive decision logs and project documentation via GitHub.