Senior Product Manager - Data Platform

Fortive•Austin, TX

About The Position

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.

Requirements

8+ years of progressive Product Management experience, with a proven track record of scaling B2B SaaS data platforms and distributed systems.
Deep understanding of data modeling (relational and dimensional) and the implementation of data contracts to ensure decoupled, high-quality data exchange.
Hands-on experience defining requirements for stream-based data processing (e.g., Kafka, Flink) and real-time analytical workloads.
A portfolio of successful product outcomes where you led the journey from an abstract data vision to a measurable market win.
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.
Proven success in defining positioning and launch strategies that drive real user adoption for complex technical capabilities.
Proficiency in leveraging complex datasets and system telemetry to diagnose platform health, identify growth levers, and make high stakes tradeoff decisions.
The ability to navigate organizational complexity and communicate technical concepts clearly to both engineers and C-suite stakeholders.
Bachelor’s degree in Computer Science, Data Science, or a related field required.

Nice To Haves

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

Responsibilities

Synthesize deep customer empathy with rigorous analysis of data trends and the competitive landscape to drive informed platform and tool decisions.
Uncover and validate data "whitespace” emerging analytics trends, and growth levers to inform our data platform and data products direction.
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.
Define and evangelize an aspirational vision for our Data Platform, aligning it with long-term company goals and market opportunities.
Identify and validate whitespace in our data architecture, establishing data contracts to ensure high-quality, reliable, and decoupled data exchanges between producers and consumers.
Translate high-level strategy into a high-impact roadmap that rigorously balances customer value, business ROI, and technical constraints like latency and throughput.
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.
Execute complex trade-off decisions that prioritize speed to market without compromising long-term platform scalability or data consistency.
Partner with Design and Business Unit Product Managers to prototype and rapidly validate data-as-a-product solutions that solve complex user problems.
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.
Merge qualitative user feedback with quantitative behavioral data to drive high-conviction product decisions.
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.
Socialize priorities and scope across the organization, ensuring cross-functional stakeholders are unified on data quality standards and integration patterns.
Act as the ultimate point of accountability for the success, quality, and impact of every product increment, from pipeline stability to data accuracy.
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.
Partner with Product Marketing to architect compelling positioning for our platform's real-time insights and advanced analytics capabilities.
Empower Sales and Customer Success with deep product intelligence to accelerate adoption of our data-driven features.
Define and measure a robust set of success metrics including platform adoption, pipeline reliability, and time-to-insight to quantify product impact.
Extract actionable intelligence from platform usage data to pinpoint a roadmap of optimizations designed to increase customer lifetime value (LTV) and system efficiency.