Data, Analytics, AI Manager

This is a fully remote position, open to applicants in Colorado, +12 more states.

📋 Description

• Lead the Data, Analytics, and AI team overseeing the company’s data warehouse, reports, metrics, and data tools.

• Determine the data warehouse platform and integrate the two existing warehouse initiatives.

• Be responsible for warehouse architecture, cost management, security, and automated feeds from NetSuite, the online store, and the shipping partner.

• Manage cross-system reporting and establish and validate standards for key metrics such as revenue, margin, cost, inventory, and channel profitability.

• Take charge of the monthly product data quality report and the monthly comparison of online store products against NetSuite.

• Set the team's data, reporting, and AI backlog, prioritizing requests from leadership and various business functions.

• Supervise the Senior Data Engineer, Analytics Engineer, and Commercial BI Analyst.

• Recruit for open positions, establish priorities, review team output, conduct performance evaluations, and take on interim technical lead responsibilities.

• Identify, pilot, measure, and implement automation and AI tools utilizing trusted warehouse data while ensuring access and accuracy guardrails.

• Govern upstream data dependencies and assess changes to the data structures of NetSuite and the online store.

• Adhere to ERP integration standards and ensure daily data loads and quality checks are maintained with backup coverage.

• Make decisions regarding platform, metric definitions, prioritization, and automation/AI that impact profitability, inventory, and financial planning.

• Travel approximately once each quarter to the Portland office, manufacturing operations in Mexico, or various US retail locations.

⛳️ Requirements

• Bachelor’s degree in computer science, Statistics, Mathematics, Information Systems, Engineering, or a related discipline, or equivalent professional experience.

• At least seven years of experience in data engineering, analytics engineering, or business intelligence.

• Minimum of three years leading a data team.

• Proven experience in building or operating a cloud data warehouse in a production environment, including pipelines and data-protection assessments.

• Experience delivering reporting solutions for retail, eCommerce, consumer products, or manufacturing sectors.

• Experience launching at least one automation or AI application on a data platform and evaluating its outcomes.

• Proficient in dimensional and analytical data modeling, ELT pipeline design, and orchestration techniques.

• Advanced SQL skills.

• Familiarity with at least one cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks.

• Experience with data transformation and testing frameworks like dbt or similar tools.

• Background in data quality monitoring.

• Experience using BI tools such as Looker, Power BI, or Tableau.

• Understanding of metric-layer design ensuring one definition per measure.

• Knowledge of large language model and automation patterns applicable to business, including constraints, costs, and data access controls.

• Familiarity with ERP, eCommerce, and logistics data structures.

• Understanding of data governance, access control, and privacy fundamentals for customer and financial data.

• Capability to make and justify platform decisions with clarity on cost, risk, and migration efforts.

• Ability to translate business inquiries into defined metrics and dependable datasets.

• Proficiency in reading and reviewing pipeline and transformation code.

• Experience managing a small distributed team across different time zones, including remote personnel.

• Fluent in English, encompassing speaking, reading, and writing skills, required for all essential duties.

• 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: Experience with NetSuite and Shopify as source systems; involvement in data platform consolidation or migration.

🏝️ Benefits

• Health, dental & vision insurance (75% of costs covered by PLG for team members).

• 401(k) plan with a 4% company match.

• Discounted pet insurance.

• Paid holidays (including one floating holiday), vacation, and sick leave.

• Store discount.

• A dynamic and collaborative team environment.

• Fully remote working arrangement.

• Quarterly travel opportunities to the Portland office, manufacturing operations in Mexico, or US retail locations.