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 Youll 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 platforms 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 delivers measurable ROI through optimized stream-based processing and sub-second latency for critical business insights.
• Standardized Data Modeling : A unified and intuitive semantic data model that reduces time-to-insight for internal teams and external customers alike.
• Platform Excellence : A culture of continuous discovery and experimentation that results in a frictionless, category-leading user experience for data-driven personas within our customer base.
• Quantifiable Growth Velocity : Sustained upward trends across core platform KPIs, specifically driving deeper adoption of real-time data features, higher retention, and expansion revenue.
• Organizational Trust & Alignment : A unified cross-functional engine where Data Engineering, Analytics, Design, and GTM teams operate with absolute clarity, shared technical standards, and a common purpose to deliver data enable user experiences across our entire product portfolio.

What You Bring

• Data Platform Expertise : 8+ years of progressive Product Management experience, with a proven track record of scaling B2B SaaS data platforms and distributed systems.
• Technical Mastery : Deep understanding of data modeling (relational and dimensional) and the implementation of data contracts to ensure decoupled, high-quality data exchange.
• Stream Processing Proficiency : Hands-on experience defining requirements for stream-based data processing (e.g., Kafka, Flink) and real-time analytical workloads.
• Outcome Driven Leadership : A portfolio of successful product outcomes where you led the journey from an abstract data vision to a measurable market win.
• Discovery & Validation Rigor : Extensive experience in user centered discovery, partnering with UX and Engineering to move from ideation to validated, high-conversion experiences via A/B testing and technical prototyping.
• Commercial & GTM Acumen : Proven success in defining positioning and launch strategies that drive real user adoption for complex technical capabilities.
• Analytical Fluency : Proficiency in leveraging complex datasets and system telemetry to diagnose platform health, identify growth levers, and make high stakes tradeoff decisions.
• Executive Presence : The ability to navigate organizational complexity and communicate technical concepts clearly to both engineers and C-suite stakeholders.
• Educational Foundation : Bachelors degree in Computer Science, Data Science, or a related field required; MBA or advanced technical degree preferred.

Preferred Qualifications

• Advanced Data Architecture : Deep familiarity with distributed systems, microservices architecture, and managing schema evolution at scale.
• Product-Led Growth (PLG) : Proven experience in PLG environments, specifically leveraging data transparency and self-service analytics to drive user expansion.
• Modern Data Stack : Expert-level use of cloud data warehouses (e.g., Snowflake, BigQuery) and advanced analytics platforms like Amplitude, Mixpanel, or Heap.
• Stream-Processing Frameworks : Practical knowledge of real-time data orchestration tools and stream-processing engines such as Apache Kafka, Flink, or Spark Streaming.
• Enterprise Complexity : Background in managing complex workflow based products or large-scale enterprise SaaS ecosystems.
• Advanced Degree : MS in Data Science, Computer Science, or an MBA with a focus on technical product management.

Ready to Build Whats Next?

If youre a growth-driven SaaS product leader who thrives on building, scaling, and leading through change - join us. At Accruent, you wont just manage a business, youll define its future.