POLYWOOD®
1001 - 5000 employees
Founded 1990
🏭 Manufacturing
🛍️ eCommerce
👥 B2C
Manufacturing • eCommerce • B2C
POLYWOOD is a U. S. -based maker of durable, low-maintenance outdoor furniture engineered from proprietary polymer lumber and weather-resistant materials. Founded in 1990 and manufactured in facilities in Indiana and North Carolina, POLYWOOD offers Adirondack chairs, dining sets, deep seating, planters, in-pool furniture and accessories, marketed directly to consumers through its website and showrooms. The company emphasizes sustainability and long-lasting performance with product technologies and warranties (ClimateTuff™, Solidcore™, ColorStay™, POLYWOOD Select™) that resist splintering, rot, fading, and extreme weather.
VP of Data, Analytics
🕒 July 28
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POLYWOOD®
1001 - 5000 employees
Founded 1990
🏭 Manufacturing
🛍️ eCommerce
👥 B2C
Manufacturing • eCommerce • B2C
POLYWOOD is a U. S. -based maker of durable, low-maintenance outdoor furniture engineered from proprietary polymer lumber and weather-resistant materials. Founded in 1990 and manufactured in facilities in Indiana and North Carolina, POLYWOOD offers Adirondack chairs, dining sets, deep seating, planters, in-pool furniture and accessories, marketed directly to consumers through its website and showrooms. The company emphasizes sustainability and long-lasting performance with product technologies and warranties (ClimateTuff™, Solidcore™, ColorStay™, POLYWOOD Select™) that resist splintering, rot, fading, and extreme weather.
📋 Description
• Define and evolve POLYWOOD's enterprise data strategy, from ingestion to insight • Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale • Set the architectural standards, modeling conventions, and data quality frameworks that the whole organization relies on • Lead and develop a team of data engineers, analytics engineers, and embedded business analysts • Serve as the primary data partner to Marketing, Advertising, and Commercial leadership • Establish and enforce data governance standards, access controls, and metric definitions across the organization
🎯 Requirements
• 12+ years in data engineering, analytics, or data leadership roles • Significant experience leading multi-disciplinary data organizations including engineers and analysts • Expert-level knowledge of Databricks and modern lakehouse architecture • Strong SQL and Python fluency; ability to review and guide technical work • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms) • Proven ability to connect data strategy to measurable business outcomes • Experience in consumer products, retail, or D2C environments preferred
🏖️ Benefits
• Building the data foundation for a category-defining brand • Opportunity to work remotely
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