Director of Data & Analytics

The Opportunity

Our client in the Food and Beverage industry is hiring a Director of Data!

This is a founding data role. There is no warehouse, no BI layer, and no CDP — yet. You will build all three from scratch and own them. This isn’t a role for someone who manages dashboards that someone else built; it’s for someone who architects the entire data foundation of a fast-growing DTC brand and takes pride in making every function of the business smarter.

You’ll work directly with the CMO, CEO, and cross-functional leads across growth, CX, ops, and finance. As our company expands into retail, you’ll own the data integration strategy that bridges our DTC core with wholesale and omnichannel distribution. The ceiling on this role is high.

What You’ll Own

Data Infrastructure & Warehouse

• Design and build our data warehouse from the ground up — selecting and implementing the right stack (e.g., Snowflake, BigQuery, dbt, Fivetran) for a DTC business at our stage.


• Establish clean, reliable data pipelines from all core sources: Shopify, Meta Ads, TikTok Ads, Klaviyo, Gorgias, and any 3PL or ops tooling.


• Build for scalability — architect the data model so it can grow with us as we add retail, international, and new product lines.


• Own data governance, quality standards, and documentation so every stakeholder trusts the numbers.


• Build and maintain a BI layer (e.g., Looker, Metabase, or Hex) that gives every function — growth, brand, ops, finance — self-serve access to the metrics they own.


• Design executive-level dashboards and weekly performance reports that make the business’s health visible at a glance.


• Partner with the CMO to build marketing analytics capabilities: channel-level CAC/LTV, cohort analysis, creative performance, attribution modeling, and contribution margin by segment.


• Identify the metrics that matter most at each stage of growth and ensure they’re tracked consistently across the org.


• Lead the buildout of our customer data platform — owning identity resolution, event taxonomy, and the segment architecture that powers lifecycle marketing and paid suppression.


• Design and maintain behavioral, demographic, and purchase-based segments that the lifecycle and performance teams can act on in real time.


• Own our first-party data strategy: ensure we are capturing, enriching, and activating customer data across every touchpoint (web, email, SMS, post-purchase).


• Build the data infrastructure that supports personalization at scale — from triggered email flows to paid audience segmentation.

CX & Operations Data

• Ensure CX data (ticket categories, CSAT, resolution rates, churn signals) is fully integrated into the warehouse and surfaced to the CX and marketing teams.


• Partner with ops to build reporting around fulfillment SLAs, return rates, inventory health, and supply chain performance.


• Build the feedback loops between CX/ops data and growth decisions — making sure the marketing team knows when operational issues are affecting LTV.


• As we move into retail, own the integration of wholesale data — POS sell-through, retailer portals, depletion data — into our central warehouse.


• Build reporting that gives us a unified view of the customer and the business across DTC and retail channels.


• Support broker and retail partner relationships with clean data and performance reporting.

Who You Are

• You think like a founder and operate like an owner — accountable, proactive, and relentlessly results-driven.


• You have 6–10 years of experience in data engineering or analytics engineering at a DTC, e-commerce, or CPG company, and you’ve built a warehouse end-to-end — you know how to pick the right stack for the stage of the business and not over-engineer it.


• You’re fluent in SQL, dbt, and at least one cloud warehouse (Snowflake, BigQuery, or Redshift). Python is a plus.


• You understand DTC data intimately: Shopify data models, Meta/TikTok attribution, Klaviyo event schemas, and how LTV/CAC actually get calculated — not the vanity version.


• You lead through systems — building infrastructure and dashboards that give every function clarity on goals, levers, and bottlenecks.


• You’re deeply analytical and translate raw data into decisions, not just reports.


• You have experience with CDP or MarTech instrumentation — event tracking, identity resolution, segment architecture. Segment, Rudderstack, or similar.


• You know when the data is telling you something real and when it’s noise. You separate signal from noise before escalating.


• You thrive in a 0→1 environment. You don’t need a team under you to move fast — though you’ll help build one over time.


• You embody our company’s values: Move fast. Be data-driven. Take ownership. Build with intention. Compete to win.


• Bonus: Experience with retail data integrations (syndicated data, distributor portals, EDI) or attribution platforms like Northbeam or Prescient.

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