AI Data Lead

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. 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, 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.

Responsibilities

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; 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; 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; Partner with product, marketing, finance, operations, and engineering to define analytical needs and turn them into solutions; Represent the data function to the organization through senior-level storytelling with data

Requirements

7+ years of experience in data roles, spanning both analytics and infrastructure; Strong analytical foundation, with an understanding of what makes analysis rigorous and the ability to build a trustworthy AI-driven analytics system; Hands-on experience integrating AI into data workflows, including having shipped an agent or AI analysis flow that people use; Strong SQL skills and experience building scalable data infrastructure; Track record owning data projects independently with stakeholders across the business; Solid grounding in experimentation and statistical methods; Excellent communication and presentation skills at a leadership level; Comfortable being the most senior (and often only) data voice in the room

Nice to have

Experience with dbt; Experience with Amplitude; Experience with BigQuery; Experience with git-based BI workflows or tools like Modus; B2C environment experience