Data Lead

Data-AI Lead
About Us
OurRitual is a fast-growing digital platform reshaping how relationship therapy works. We combine expert-led therapy sessions with AI-powered support to create a blended experience — where clinical depth and intelligent technology weave together into something neither could deliver alone. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We're pre-Series A, at the stage where AI moves from feature to foundation — and that shift runs straight through data.
Role Overview
As Data Lead, you will own how data gets turned into decisions across the company — and lead the shift from traditional BI into AI-driven BI, powered by agents that surface insight in real time. You'll work closely with one data engineer today, with room to grow the team as scope expands.
You'll define what the data function looks like when AI is embedded in it, not bolted on — from the underlying infrastructure to the dashboards and agents people actually use. The playbook for AI-native BI is still being written, and you'll write a lot of it.
Key Responsibilities
Data Strategy & Ownership

• Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI

• Set priorities in partnership with senior leadership

• Work closely with a data engineer today, with the option to grow the team as the function scales

AI-Driven BI & Agents

• Drive adoption of AI across data workflows — from automating analyses to agents answering business questions in real time

• Own the semantic and metrics layer so every dashboard and every agent reads the same definitions

• Build in a git-based workflow: dashboards and queries live in git, edited through PRs, built with agents

• Expose our data to agents over MCP so business questions get answered without waiting for a dashboard

• Define where AI speeds things up — and where human judgment still has to hold the line

Infrastructure & Analytics

• Own the data infrastructure: BigQuery, dbt, pipelines, and data reliability

• Lead complex analytics work, A/B testing, and impact measurement, hands-on

• Define evals and quality metrics for AI features and agents — not just A/B tests on dashboards

Cross-functional Collaboration