Senior Product Manager Data Platform

We are seeking a Senior Product Manager to drive the strategic evolution of our Core Data 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 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 prototypeand 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 latencyto 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 platforms 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.