Director, Client Data Science
Job description
About the role
The posting lists Remote (US). You won't own Foodsmart's external narrative itself, that lives with our go-to-market and sales teams, but you'll make sure it's built on solid data, and you'll act as the analytical consultant who helps sharpen how it's told. This is a hands-on infrastructure and reporting role. We need someone who can move fluidly from dbt modeling to BI build-out to actually sitting in front of a client, and who treats that full range as one job, not three. On the team you would About Foodsmart:. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:.
Key facts
What you'll do
- You won't own Foodsmart's external narrative itself, that lives with our go-to-market and sales teams, but you'll make sure it's built on solid data, and you'll act as the analytical consultant who helps sharpen how it's told.
- This is a hands-on infrastructure and reporting role. We need someone who can move fluidly from dbt modeling to BI build-out to actually sitting in front of a client, and who treats that full range as one job, not three.
- You will About Foodsmart:.
- At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:.
- 👥 Customer First
- You start with the member and work backwards.
- 🚀 Make It Happen
- You act with urgency, use data, and hold high standards.
- 🤝 One Team
- You collaborate with respect and commit as a group.
- Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.
- You will About the Role:.
- You will You will:.
Requirements
- Bachelor's degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master's degree is a plus.
- + years of experience in data science, analytics, or BI, with real experience owning client-facing or external-facing reporting. 4+ years leading teams.
- Experience in an equivalent role at another healthtech company, ideally one with a similar mix of clinical, operational, and commercial reporting demands.
- Direct experience supporting RFP processes with data and analysis, ideally in a healthcare, Medicaid, or payer-adjacent context.
- Experience building or owning SLA frameworks, or a clear point of view on how to structure one from scratch.
- Comfort discussing clinical ROI and outcomes methodology at a business level. You don't need to own the technical model, that sits with our Senior Director of Clinical Intelligence, but you need to represent it credibly to clients and prospects.
- Experience partnering directly with Sales and Customer Success leadership as their analytical lead.
- You need Expert-level proficiency in SQL and working knowledge in Python.
- Deep, production-level experience with dbt, including source and metric modeling, testing, documentation, and semantic layer design.
- Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent).
- Proven fluency with AI-native developer and analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent) used in production analytical workflows.
- Experience automating recurring reporting deliverables (QBRs, board decks, client-facing dashboards) using AI or workflow tooling, not just building the underlying dashboard.
Skills & tools
You will use python. You will use sql. You will use go. You will use rust.