VP, Product Data

🕒 5 days ago

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Everway

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

☁️ SaaS

Education • Accessibility • SaaS

Everway is a technology company that specializes in creating innovative tools designed to enhance learning and accessibility in both educational and workplace settings. With a focus on understanding and empowering individuals with diverse learning needs, their products support literacy, math accessibility, and inclusive learning experiences. Formerly known as n2y and Texthelp, Everway aims to break down barriers and promote neuroinclusion, ensuring that everyone has the opportunity to thrive in their educational and professional environments.

📋 Description

• Define and lead the product data strategy, anchored in key business and product decisions • Own the telemetry platform strategy, including event pipeline design into the Databricks lakehouse • Establish instrumentation standards (event schemas, naming, versioning) across product teams • Design and deliver governed product data products (datasets, metrics, dashboards) • Build shared data models to unify product usage across a multi-product portfolio • Enable customer-facing insights and usage transparency as part of the product experience • Evaluate and implement product analytics tooling aligned to platform and governance standards • Partner with Data Engineering and Analytics on pipelines, data contracts, and consumption • Work closely with Product teams to define success metrics and measurement frameworks • Deliver actionable insights linking product usage to business and learner outcomes • Enable self-service through shared metrics, documentation, and dashboards • Build and scale a small, high-impact product data team

🎯 Requirements

• 5+ years in product data, product analytics, or analytics engineering in a SaaS/tech environment • Experience defining product instrumentation and telemetry architecture at scale • Experience building or owning event pipelines (first-party telemetry preferred) • Strong partnership with Product and Engineering on metrics and measurement • Experience creating governed, reusable data assets from product data • Hands-on experience with modern data platforms (e.g., Databricks, Snowflake) • Strong SQL and Python skills across data pipelines and analysis • Experience leading small, high-performing teams • Strong communication skills and ability to influence across technical and business stakeholders

🏖️ Benefits

• Competitive salary with bonus opportunities • Flexible work schedules • Comprehensive health and wellness benefits • Flexible time off plans • Career growth through development programs • Collaborative, innovative culture where your ideas matter