[Hiring] Head of Data @Mood

Role Description

As Head of Data, you'll own Mood's data function end to end. You'll lead the team while staying hands-on in the work, not just directing it.

• Your job is to turn data into decisions that improve profitability.
• You'll prioritize work based on its impact on revenue, cost, and risk—and say no to the rest.
• You'll write and review SQL and models and work hands-on with AI tools, including AI coding tools.
• If you want to own the whole function, keep your hands in the code, and see your analysis change what the business does, this role is for you.

What You'll Own

• Strategy & Roadmap: Determine what the team works on, in what order, and what it turns down.
• Warehouse & Pipelines: Own BigQuery, Dataform models, and ingestion from the systems the business runs on.
• Reporting & Analytics: Own the dashboards and analysis teams use to make decisions.
• Measurement & Attribution: Own the in-house attribution model, incrementality tests, and the data behind server-side conversion tracking.
• Data Quality: Catch bad data before it reaches a report or a decision.
• Access & Governance: Determine which people and AI agents can access which data, including sensitive customer data.

What Success Looks Like

• First 90 Days:
  • Ranked data initiatives by their revenue or cost impact.
  • Customer segmentation and lifecycle analytics actively helping grow revenue from existing customers.
  • Data is kept safe with tightly controlled access.
  • Understanding of each tool in the data stack and first build-vs-buy decisions made.
• First 6 Months:
  • Marketing trusts the in-house attribution model.
  • Orders and revenue reconcile across Shopify, the ERP, and Finance.
  • Reduced the cost of the data stack by consolidating or removing tools.
  • Every team works from one trusted set of numbers.

What You'll Work With

• Cloud & Warehouse: Google Cloud, BigQuery
• Transformation: Dataform
• Semantic Layer: Cube
• Ingestion: Airbyte, dlt, Prefect
• Experimentation: Statsig
• Tracking: GA4, plus server-side tracking
• Business Systems: Shopify (headless), Klaviyo, Salesforce, Xoro (ERP)
• Reporting: Internal dashboards
• AI: Claude Code and an internal data bot that answers questions from certified queries

Who You'll Work With

• The Head of Finance, your manager, on reconciliation, inventory, demand planning, and the cost of the data stack.
• The CEO, on the revenue and cost decisions your work informs.
• Your team: a small team across analytics, data engineering, and analysis, plus specialist contractors.
• Teams across the business that rely on the numbers, including Marketing, Operations, and each sales channel.

What You Bring

• 8+ years of experience in data or analytics, including 3+ years leading a data function or team.
• Experience writing SQL and working hands-on in a modern cloud data warehouse within the last two years.
• Experience building data models using dbt, Dataform, or a similar framework.
• Daily use of AI tools in hands-on data work, including code writing and review.
• Track record of data work that influenced revenue or cost decisions.
• Experience making build-vs-buy decisions with measurable savings.
• Effective communication with executives and ability to manage up.
• Ability to turn complex analysis into clear charts and concise recommendations.
• Comfortable leading a small team while remaining hands-on in technical work.

Nice to Have

• Experience in a regulated industry such as hemp/cannabis, alcohol, or supplements.
• Analytics experience in an e-commerce, DTC, or similar consumer business.
• Experience with Shopify event tracking, especially on a headless storefront.
• Experience with identity stitching, attribution, MMM, or incrementality testing.
• Experience with semantic layers such as Cube.
• Experience with Google Cloud Platform (GCP).
• Experience working with finance data, including reconciliation and inventory.

Location

Remote, with a preference for candidates located in New York, San Francisco, or Los Angeles.

Compensation

$150,000–$250,000 base salary

Legal Disclaimers

• Equal Employment Opportunity (EEO): Mood is an Equal Opportunity Employer.
• Americans with Disabilities Act (ADA): Mood is committed to providing reasonable accommodations to applicants with disabilities.