Senior Product Manager - Data Platform

Position: Senior Product Manager - Data Platform Accruent
## Senior Product Manager - Data Platform United States 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 adoption, pipeline reliability, and time-to-insight to quantify product impact.
* ** Continuous Optimization:
** Extract actionable intelligence from platform usage data to pinpoint a roadmap of optimizations designed to increase customer lifetime value (LTV) and system efficiency.
** What Success Looks Like**
* ** Market-Leading Data Strategy**: A compelling, differentiated product vision that establishes our data platform as the "must-have" solution for real-time asset and facility intelligence.
* ** Engineering Grade Data Contracts**:
Seamless collaboration where data producers and consumers operate under robust data contracts, resulting in high data quality and decoupled, scalable architecture across our portfolio of products.
* ** High Velocity Stream Processing**:
An outcome driven roadmap that consistently…