Head of Data

Mood

. Own Mood's data function end to end .

Posted 10/7/2026full-timeRemote • United StatesLead💰 $150,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, analytics, and team leadership, with a strong focus on turning data into actionable business decisions. Proficient in SQL, data modeling, and cloud data warehousing, while ensuring data quality and governance.

Highest-signal resume keywords

Data ManagementSQL ProficiencyData Modeling with dbt or DataformCloud Data Warehouse ExperienceTeam Leadership in Data Function

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Pipeline DevelopmentAttribution ModelingIncrementality TestingCustomer SegmentationRevenue and Cost Decision InfluenceBuild-vs-Buy Decision MakingData Quality AssuranceFirst-Principles Problem SolvingData Governance

Soft Skills

Clear Communication with ExecutivesTeam LeadershipCollaboration Across DepartmentsConcise Recommendation Development

Tools & Technologies

BigQueryDataformAI Tools for Data WorkShopifyGoogle Cloud Platform

Industry Keywords

E-commerce AnalyticsDTC Business AnalyticsRegulated Industry ExperienceFinance Data ExperienceSemantic Layers

Tech Stack

Tools & technologies

BigQueryCloudERPGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Own Mood's data function end to end
Lead the data team while remaining hands-on in technical work
Turn data into decisions that improve profitability
Prioritize initiatives based on revenue, cost, and risk impact
Establish and manage data-request intake, ranking, priorities, tradeoffs, and capacity
Own BigQuery, Dataform models, and ingestion pipelines
Own dashboards and analyses used for business decisions
Own the in-house attribution model, incrementality tests, and server-side conversion-tracking data
Partner with Marketing to maintain sound measurement as tracking rules change
Ensure data quality before information reaches reports or decisions
Govern access for people and AI agents, including sensitive customer data
Drive customer segmentation and lifecycle analytics, including email
Make build-vs-buy decisions and optimize data-stack costs
Reconcile orders and revenue across Shopify, the ERP, and Finance
Support inventory aging and demand planning using trusted data
Establish certified metrics in the semantic layer for consistent use across dashboards, analysts, and the internal data bot
Work with the Head of Finance on reconciliation, inventory, demand planning, and data-stack costs
Work with the CEO on revenue and cost decisions
Collaborate with analytics, data engineering, analysis, contractors, Marketing, Operations, and sales channels

Requirements

What you’ll need

8+ years of experience in data or analytics, including 3+ years leading a data function or team
Hands-on SQL experience within the last two years
Experience working in a modern cloud data warehouse
Experience building data models using dbt, Dataform, or a similar framework
Experience building data pipelines
Daily hands-on use of AI tools for data work, including writing and reviewing code
Appropriate AI code review processes and access guardrails
Track record of data work influencing revenue or cost decisions, with quantifiable impact
Experience making defensible build-vs-buy decisions and reducing tooling or infrastructure costs with measurable savings
Ability to manage up and communicate clearly with executives
Ability to turn complex analysis into clear charts and concise recommendations
Ability to work across attribution, experimentation, dashboards, and data infrastructure
First-principles problem solving
Ability to lead a small team while remaining hands-on technically
Nice to have: experience in a regulated industry such as hemp/cannabis, alcohol, or supplements
Nice to have: e-commerce, DTC, or similar consumer business analytics experience
Nice to have: Shopify event-tracking experience, especially with a headless storefront
Nice to have: identity stitching, attribution, MMM, or incrementality testing experience
Nice to have: experience with semantic layers such as Cube
Nice to have: Google Cloud Platform experience
Nice to have: finance data experience, including reconciliation and inventory