Staff Product Manager, Data & Analytics

🕒 July 23

🌵 Arizona, California, +20 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🔴 Lead

📉 Data Analyst

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Foley

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1992

📦 Logistics

🏗️ Construction

🏭 Manufacturing

Logistics • Construction • Manufacturing

Foley is a SaaS company that provides an all-in-one hiring, screening, and DOT compliance platform for transportation and fleet operators. Its platform streamlines hiring and onboarding, background checks, drug & alcohol testing, FMCSA Clearinghouse administration, MVR monitoring, and audit risk monitoring to help companies stay compliant, reduce risk, and manage driver and safety data. Foley serves carriers of all sizes and adjacent industries such as retail, utilities, and healthcare with tools to digitize records, monitor safety, and simplify regulatory requirements.

📋 Description

• Own Foley's enterprise data model • Drive the medallion architecture from a product definition perspective • Own Silver and Gold layer data definitions • Prioritize the engineering backlog in partnership with the VP of Engineering • Be the primary data platform partner for business stakeholders • Own stakeholder communication • Maintain a weekly touchpoint with the AI Value Creation Office • Own delivery against quarterly KRs • Own the product roadmap for Foley's intelligence self-service platform • Own the API layer as a product • Define and maintain the metric layer • Partner with the data analyst and engineering to enable self-service intelligence • Drive platform adoption and capability enablement across the organization • Own the capabilities and paved paths backlog

🎯 Requirements

• Strong technical depth in data • Deep familiarity with data architecture concepts • Hands-on familiarity with modern data tooling • Ability to write precise technical requirements • Comfort with the self-service / distributed intelligence model • Strong written and verbal communication • Demonstrated ability to ramp quickly in a new domain • Ownership mindset • Former data engineer or analytics engineer is nice to have • Experience in a compliance, regulatory, or data-as-a-product company is nice to have • Familiarity with Amazon Neptune, graph data models, or entity resolution concepts is nice to have

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) with company match • paid time off and holidays • wellness programs • employee assistance program