Senior Product Manager II

The Senior Product Manager, Data Platform & Analytics is the analytical engine and quality gatekeeper for our core data offerings. While operating within the Product Management function, this is a deeply analytical role built for an expert who thrives at the intersection of product health, data collection mechanism, and commercial strategy.

Responsibilities

Track, analyze, and optimize the end-to-end user funnel for our panel product; Define and own core product health metrics, building/managing foundational product dashboards (e.g., Tableau, Looker); Act as source of truth for product usage data; Architect and manage proactive monitoring systems to identify data anomalies and operational issues; Lead cross-functional incident response for data drops or anomalies; Design and execute high-impact Proof of Concepts (POCs) by querying and structuring complex data; Act as technical analytics expert for commercial team, leading data-heavy RFI responses; Bridge gap between data infrastructure and market needs; Partner with other Product Managers to integrate panel health and data quality metrics into a unified data product; Champion a data-driven culture within the product organization

Requirements

8-12+ years of experience as a Product Manager for Data products OR Lead Product Analyst, Data Scientist, or highly analytical Product Manager, with a strong focus on technical B2B SaaS or data products; Proven track record of owning complex user funnels, building automated reporting, and implementing data quality frameworks at scale; Experience acting as a technical liaison to sales or go-to-market teams, with a history of pulling data for POCs and leading complex RFI responses; Fluency in data querying and manipulation (SQL is mandatory); High proficiency in building complex, automated dashboards using tools like Tableau, Looker, or similar BI platforms; Highly analytical problem-solver who doesn't wait for a dashboard to be built; Strong commercial intuition able to translate dense data quality metrics and raw data sets into clear, client-facing value propositions; Collaborative partner who excels in matrixed environments, seamlessly translating between engineering, sales, and product strategy

Nice to have

Python or R; Familiarity with consumer data products, audience measurement, or complex consumer data sets