• Talk directly with customers to identify operational pain points • Identify high-leverage opportunities where AI improves customer outcomes • Ship working prototypes, not slide decks • Define success metrics tied to customer value

• Set the long-term vision and strategy for the company’s data platform and data products, ensuring alignment with organizational goals and customer needs. • Lead, mentor, and develop multiple product teams within the data domain, fostering collaboration, clarity, and ownership. • Build and scale data capabilities—including data pipelines, governance frameworks, metadata systems, and ML/AI platforms—that power fintech products and internal operations. • Collaborate with engineering, analytics, design, marketing, compliance, and executive leadership to drive data-led initiatives across the company. • Translate regulatory, privacy, and security requirements into scalable data solutions that meet fintech industry standards. • Champion responsible data practices, ensuring accuracy, quality, and ethical usage across the organization. • Partner with cross-functional teams to define data metrics, KPIs, and success outcomes for both platform and user-facing features. • Communicate product direction, roadmap progress, and key decisions to leadership, stakeholders, and company-wide forums. • Drive innovation and experimentation by encouraging rapid iteration, A/B testing, and model-driven product design. • Evaluate emerging technologies, vendors, and industry trends to guide long-term data strategy and investments.

• Independently leads end-to-end strategy and operational roadmap for one or more KVM-based virtualization products or a broader virtualization platform portfolio, spanning hypervisor core, management APIs, and guest ecosystem. • Defines and drives the virtualization platform value proposition — including performance benchmarks, TCO advantages, and feature differentiation versus VMware, Hyper-V, and other competing hypervisor stacks — to support go-to-market and sales enablement. • Synthesizes market and customer requirements (MRDs) by maintaining deep knowledge of enterprise virtualization use cases: VDI, server consolidation, cloud-native workloads, telco NFV/edge, and HPC virtualization. • Translates KVM/QEMU/libvirt engineering capabilities into customer-facing requirements and product specifications, ensuring technical feasibility and roadmap alignment with upstream open-source communities (e.g., Linux kernel KVM subsystem, QEMU project). • Guides key stakeholders through all lifecycle phases — from hypervisor feature planning and kernel integration to product launch, sustaining engineering, and platform end-of-life planning. • Collaborates across engineering, supply chain, and marketing to optimize product configuration, SKU design, pricing, and go-to-market strategies for virtualization platform offerings. • Acts as a subject matter authority on KVM virtualization architecture, providing technical direction to internal teams, enabling sales and partner technical communities, and representing the product externally with customers and at industry forums.

• Serve as a trusted advisor for team members on customer pricing, consumption and chargeback models. • Own platform pricing and rate cards as a product capability, including pricing dimensions, units of measure, and rules for shared platform services. • Define platform usage, consumption, and reporting semantics, including metric definitions and billable vs non‑billable constructs. • Architect platform economics and reporting so they enable automated insights, anomaly detection, and forecasting rather than manual analyst workflows. • Define product requirements for platform telemetry and metering to support pricing, reporting, and alignment with Corporate billing and finance systems. • Act as the BU product authority for pricing, reporting, and usage semantics, partnering with Corporate teams to ensure accurate and scalable execution. • Incorporate enterprise customer IT finance models into platform design, including chargeback/showback, shared infrastructure, and central IT funding models. • Serve as a senior counterpart to Product, Engineering, Finance, and customer stakeholders on platform economics and reporting topics.