Data, Analytics, AI Manager

Job not on LinkedIn

🕒 October 23

⛰️ Colorado, Florida, +11 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🚗 Michigan – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $135k - $160k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Portland Leather Goods

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🛍️ eCommerce

👗 Fashion

🛒 Retail

eCommerce • Fashion • Retail

Portland Leather Goods is a direct-to-consumer leather goods brand and retailer offering a wide range of leather bags, wallets, small accessories and care products in many colors and styles. The company operates an online storefront with a mobile app, runs promotions and a rewards program, and also maintains retail locations. Their product mix emphasizes fashion-forward, everyday leather carry goods sold primarily to individual consumers.

📋 Description

• Lead the Data, Analytics, and AI team responsible for the company data warehouse, reports, metrics, and data tools • Decide the data warehouse platform and consolidate the two existing warehouse efforts • Own warehouse architecture, cost, security, and automated feeds from NetSuite, the online store, and the shipping partner • Own cross-system reporting and define and test standards for key metrics including revenue, margin, cost, inventory, and channel profitability • Own the monthly product data quality report and monthly comparison of online store products against NetSuite • Set the team’s data, reporting, and AI backlog and prioritize requests from leadership and business functions • Manage the Senior Data Engineer, Analytics Engineer, and BI Analyst, Commercial • Hire for open roles, set priorities, review work, conduct performance reviews, and assume interim technical lead duties • Identify, pilot, measure, and deploy automation and AI tools on trusted warehouse data with access and accuracy guardrails • Govern upstream data dependencies and review changes to NetSuite and online store data structures • Follow ERP integration standards and maintain daily data loads and quality checks with backup coverage • Make platform, metric-definition, prioritization, and automation/AI decisions used in profitability, inventory, and financial planning • Travel approximately once per quarter to the Portland office, manufacturing operation in Mexico, or US retail locations

🎯 Requirements

• Bachelor’s degree in computer science, Statistics, Mathematics, Information Systems, Engineering, or a related field, or equivalent work experience • Seven or more years in data engineering, analytics engineering, or business intelligence • Three or more years leading a data team • Experience building or running a cloud data warehouse in production, including pipelines and data-protection tests • Experience delivering reporting for a retail, ecommerce, consumer products, or manufacturing business • Experience shipping at least one automation or AI application on a data platform and measuring its results • Knowledge of dimensional and analytical data modeling, ELT pipeline design, and orchestration • Expert-level SQL • Experience with at least one cloud warehouse such as BigQuery, Snowflake, Redshift, or Databricks • Experience with data transformation and testing frameworks such as dbt or similar • Data quality monitoring experience • Experience with BI tools such as Looker, Power BI, or Tableau • Knowledge of metric-layer design with one definition per measure • Knowledge of large language model and automation patterns for business use, including limits, cost, and data access controls • Knowledge of ERP, ecommerce, and logistics data structures • Knowledge of data governance, access control, and privacy basics for customer and financial data • Ability to make and defend platform decisions with cost, risk, and migration effort clearly explained • Ability to turn business questions into defined metrics and reliable datasets • Ability to read and review pipeline and transformation code • Experience managing a small distributed team across time zones, including remote staff • Fluent English speaking, reading, and writing, required for all essential functions • Must reside in a state where the company is registered to conduct business and process payroll; eligible states include Oregon, Texas, Washington, Florida, Virginia, South Carolina, Nevada, Illinois, Michigan, Ohio, Colorado, Tennessee, New Hampshire, and Georgia • Preferred: NetSuite and Shopify as source systems; consolidation or migration of a data platform

🏖️ Benefits

• Health, dental & vision insurance (75% cost covered by PLG for team member) • 401(k) with 4% company match • Discounted pet insurance • Holidays (including 1 floating holiday), vacation & sick time • Store discount • Dynamic & collaborative team environment • Fully remote workplace • Quarterly travel opportunities to the Portland office, manufacturing operation in Mexico, or US retail locations

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