Senior Technical Product Manager - Data Platform

We are seeking a Senior Product Manager to drive the strategic evolution of our Core Data Platform. In this role, you will bridge the gap between high-level data vision and tactical execution, transforming complex datasets into high-growth product capabilities. Acting as a Product Catalyst, you will own the end-to-end data lifecycle by collaborating with Data Engineering, Analytics, and Design to ship data products that customers find indispensable. We are looking for a product leader comfortable defining 10x growth strategy for data accessibility, insights and data products while ensuring the flawless delivery of platform scalability. What You’ll Do Data Insight & Platform Strategy * Market Intelligence: Synthesize deep customer empathy with rigorous analysis of data trends and the competitive landscape to drive informed platform and tool decisions. * Strategic Direction: Uncover and validate data "whitespace” emerging analytics trends, and growth levers to inform our data platform and data products direction. * Enterprise Portfolio Strategy: Lead the data platform’s expansion across a complex multi-product portfolio, influencing the integration roadmap for 10+ products to maximize collective business value and platform adoption. * Platform Vision: Define and evangelize an aspirational vision for our Data Platform, aligning it with long-term company goals and market opportunities. * Data Contract Excellence: Identify and validate whitespace in our data architecture, establishing data contracts to ensure high-quality, reliable, and decoupled data exchanges between producers and consumers. Roadmap & Backlog Management * Strategic Alignment: Translate high-level strategy into a high-impact roadmap that rigorously balances customer value, business ROI, and technical constraints like latency and throughput. * Operational Rigor: Author and maintain a high velocity backlog characterized by precision-engineered epics and user stories for data pipelines, APIs, stream-based processing and semantic data modeling to unify our product data. * Technical Trade-offs: Execute complex trade-off decisions that prioritize speed to market without compromising long-term platform scalability or data consistency. Product Discovery & Experience Optimization * Collaborative Design: Partner with Design and Business Unit Product Managers to prototype and rapidly validate data-as-a-product solutions that solve complex user problems. * Experimentation Culture: Spearhead an experimentation culture, utilizing A/B testing and performance benchmarking to relentlessly optimize data latency to optimize data-driven user journeys powered by the data platform. * Synthesis: Merge qualitative user feedback with quantitative behavioral data to drive high-conviction product decisions. Cross-Functional Execution * Engineering Partnership: Work in lockstep with Data Engineering to translate complex schema requirements and stream-processing logic into shippable code, maintaining a focus on quality and "on-time" delivery. * Stakeholder Synchronization: Socialize priorities and scope across the organization, ensuring cross-functional stakeholders are unified on data quality standards and integration patterns. * Radical Accountability: Act as the ultimate point of accountability for the success, quality, and impact of every product increment, from pipeline stability to data accuracy. * Product Team Partnership: Forge deep strategic alliances with business unit leaders to co-author data adoption requirements, ensuring the platform roadmap is prioritized to maximize portfolio-wide customer value. Go-To-Market & Performance * Commercial Synergy: Partner with Product Marketing to architect compelling positioning for our platform's real-time insights and advanced analytics capabilities. * Enablement: Empower Sales and Customer Success with deep product intelligence to accelerate adoption of our data-driven features. * Growth Metrics:...