Services Data Lead
Role details
Job location
Tech stack
Job description
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Expect a short paid work sample. We'll share some real-world examples of what we're working to solve for.
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Reports to the VP of Product.
WHAT YOU'LL DO
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Steward and evolve the services data schema & taxonomy. It's poised to expand and change. You'll provide input about what to add, what to shift, and what these changes costs us to source and maintain - with judgment about how the data actually gets consumed downstream.
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Own and iterate the curation pipeline. Sourcing, screening, and tagging. Make it better, faster, and (with the help of our engineering team) more automated.
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Direct a small bench of data specialists. Set the quality bar, write the SOPs, and oversee the team to build out a substantial batch of services.
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Work at the nexus of design, product, engineering, and service partners. You'll liaise with multiple departments to identify the highest-value fields, refine candidacy review processes, and collaborate on how data is presented to users in the platform.
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Advise on internal tooling. You'll be the sharpest user of our admin, ingestion, dedup, and QA workflows - work with our team to identify the most impactful improvements we can make.
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Document the playbook. Transferable and clear - good enough that whoever inherits this doesn't have to reverse-engineer your thinking.
Requirements
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A working understanding of healthcare services data - ideally mental health specifically. You'll need a sense for what consumers need to know prior to making a decision, where that data comes from, and how frequently it changes.
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Strong data-schema and data-modeling judgment. You've evolved schemas that survived contact with reality, and you have opinions about what not to add. Fluent in Postgres/SQL.
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Instinct for how data fits into a product - you reason from who consumes the data backward to what and how to supply it.
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Real experience running data operations with a human-in-the-loop or annotation component, including directing distributed specialists to a quality bar.
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You've owned KPIs for data accuracy and freshness - and can walk us through how you moved them.
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Quality-systems and taxonomy thinking; you write the SOP, you don't just follow it.
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Comfortable working across product, engineering, and external partners.
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Comfortable moving fast with limited scaffolding.
Nice-to-Haves:
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AI- / LLM-assisted curation workflows.
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HL7, FHIR, or other health-data interoperability standards.
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Experience building or maintaining a services dataset or provider directory
Benefits & conditions
The hourly rate for this role is between $75 and $100, depending on experience, skills, and other relevant considerations.