Data, Analytics, AI Manager

Portland Leather Goods

. Lead the Data, Analytics, and AI team responsible for the company data warehouse, reports, metrics, and data tools .

Posted 10/23/2026full-timeRemote • United StatesSeniorLead💰 $135,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data teams and managing cloud data warehouse architecture, with a strong focus on data quality, reporting, and automation. Proficient in SQL and familiar with BI tools, ensuring effective data governance and integration across systems.

Highest-signal resume keywords

Data Warehouse ArchitectureCloud Data Warehouse ManagementExpert-Level SQLData Quality MonitoringTeam Leadership in Data Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringBusiness IntelligenceDimensional Data ModelingELT Pipeline DesignData TransformationAutomation Application DevelopmentMetric DefinitionData GovernanceData Quality Testing

Soft Skills

Decision-MakingPerformance ReviewCross-Team CollaborationCommunication

Tools & Technologies

NetSuiteBigQuerySnowflakeRedshiftDatabricksLookerPower BITableauDbtShopify

Industry Keywords

EcommerceConsumer ProductsManufacturingLogisticsData GovernanceData PrivacyERP Integration

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudERPSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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