Director, Client Data Science

Role Description

Every QBR, renewal conversation, and RFP Foodsmart brings to a client or prospect is only as strong as the data behind it. We’re looking for a Director, Client Data Science to own that foundation: the reporting, automation, and metrics that make sure our external story holds up, without turning into a manual scramble every time a client asks a hard question.

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 high-impact, domain-owning role reporting to the VP of Analytics & Data Science. You’ll be the connective point across the rest of the analytics team, pulling in expertise on member engagement and clinical outcomes as needed to round out the external story, while owning the client-facing data foundation yourself. You’ll also build and own our system of client SLAs: what we can validate and stand behind today, and the standing recommendation on whether to take on new ones.

This is a lead role where leadership shows up in being the confident, credible voice in front of clients and partners rather than in managing a large team. It’s heavily hands-on: you’ll build the reporting infrastructure yourself, work closely with Data Engineering to automate recurring weekly and monthly client reporting, and lean on AI as a genuine force multiplier, the main way this area scales, rather than just by adding headcount.

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.

We’re specifically looking for someone who has held an equivalent role at another health tech company: someone who has already lived the specific mix of clinical, operational, and commercial reporting that clients and payers expect, not someone learning the domain from scratch. Beyond that, we’re a small, flat, fast-moving team that leans hard into AI-native tooling. Hex, Omni, and Claude Code are our defaults for building and automating, and we want someone who thinks the same way.

You will:

• Own Client Quarterly Business Review (QBR) automation end to end.
• Automate Foodsmart’s recurring weekly and monthly client reporting in partnership with Data Engineering.
• Own the RFP data function: providing the analysis, benchmarks, and data cuts that Sales and the proposal team need.
• Create and own a standard system of client SLAs.
• Build and maintain the foundational set of metrics Foodsmart uses externally.
• Be conversant in Foodsmart’s clinical ROI story well enough to represent it confidently in QBRs and client conversations.
• Act as the data consultant behind Foodsmart’s external narrative.
• Pull in expertise from across the analytics team as needed.
• Partner directly with Customer Success and Sales leadership as their embedded analytical lead.
• Represent Foodsmart directly in front of clients and prospects when needed.

Qualifications

• An operator who thrives in flat, fast-moving teams.
• A confident external communicator.
• A systems thinker who’d rather build the infrastructure that makes dozens of QBRs easy.
• A trustworthy data steward.
• A full-stack analytics practitioner.
• Deeply fluent with AI-native tooling.
• Someone who treats AI as a real lever on your own output.

Requirements

• Bachelor’s degree, ideally in a quantitative or technical field.
• 12+ years of experience in data science, analytics, or BI.
• Experience in an equivalent role at another healthtech company.
• Direct experience supporting RFP processes with data and analysis.
• Experience building or owning SLA frameworks.
• Comfort discussing clinical ROI and outcomes methodology at a business level.
• Experience partnering directly with Sales and Customer Success leadership.
• Expert-level proficiency in SQL and working knowledge in Python.
• Deep, production-level experience with dbt.
• Experience with context engineering for BI and AI self-service.
• Proven fluency with AI-native developer and analyst tooling.
• Experience automating recurring reporting deliverables.
• Excellent written and verbal communication skills.

Benefits

• Remote-First Company
• Unlimited PTO
• Flexible & remote location
• Healthcare Coverage (Medical, Dental, Vision)
• 401k & bonus
• Registered Dietitian Sessions