Senior 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: Define and measure a robust set of success metrics including platform a