Director of Data

The Director of Data & Analytics is the architect and accelerator of Rugiet’s entire data ecosystem — infrastructure, analytics, attribution, forecasting, and personalization. You’ll lead a small, high-impact team while driving the evolution of our stack as we migrate into Snowflake and build a scalable, ML-ready foundation.

You’ll report directly to the CGO and partner closely with Marketing, Product, Engineering, Operations, and Finance. This is a role for someone who can zoom between big-picture strategy and hands‑on analytical depth without dropping a beat.

• Define Rugiet’s data strategy and lead the team executing it — from infrastructure to analytics to modeling.
• Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor, ownership, and output.
• Create a transparent intake and prioritization system so stakeholders understand what’s happening, why, and when.
• Introduce higher standards for what qualifies as a data request, focusing the team on analysis over mining.
• Champion BI self‑service by training teams across the company and building intuitive, reliable dashboards that reduce dependency on analysts.

• Lead Rugiet’s migration to Snowflake and design a warehouse optimized for speed, quality, and massive growth.
• Optimize ETL pipelines (Segment → Snowflake → BI layer) that enable near‑real‑time reporting where it matters.
• Shift the company away from one‑off dashboards and inconsistent models toward reusable, governed, version‑controlled assets.
• Establish data governance standards — schemas, taxonomies, naming conventions — that prevent chaos as we scale.
• Assess long term scalability of current BI tooling and build out more robust self‑service offerings for the organization to adopt for key decision making

• Partner with Product and Engineering to develop data inputs, segmentation logic, and feature sets used in personalization and ML‑driven experiences.
• Translate behavioral and lifecycle data into algorithm‑ready structures that improve retention, engagement, and patient outcomes.
• Ensure data pipelines and infrastructure support scalable training, monitoring, and continuous optimization of ML models.

• Build LTV models and LTV curves sliced by acquisition channel, offer, audience, and treatment category.
• Create daily multi‑touch attribution reporting and cut reliance on costly external tools by bringing core capabilities in‑house.
• Build Rugiet’s retention OKRs and dashboards within BI tools — with intuitive views for the whole business.
• Attribute cancellations and churn to specific lifecycle, email, and SMS campaigns with clarity and statistical rigor.
• Architect and analyze A/B tests across the site, funnel, CRM, and product experience — unblocking high‑conversion opportunities.
• Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of annual spend.
• Partner with Finance on forecasting models for demand, inventory, and revenue planning.

• 7+ years in Data & Analytics with 2+ years leading teams; strong preference for high‑growth DTC or telehealth experience.
• Hands‑on mastery of modern data stacks:
• • Warehousing: Snowflake (or equivalent)
  • ETL/Pipelines: Segment, Fivetran, dbt, or similar
  • BI: Domo (strong preference), Looker, Mode
  • Analytics: GA4, Segment, Mixpanel
  • Attribution: Northbeam, MTA structures, familiarity with MMM
• Advanced SQL and strong data‑modeling discipline — you build scalable foundations, not just one‑off queries.
• Proven ability to turn messy data into clean insights and communicate them clearly to…