Director, Client Data Science

Job description

### **About Foodsmart:** Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. 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. ### **About the Role:** 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. Build the systems, using AI alongside other automation tooling, that turn QBR prep, including the slides and commentary, from a manual production process into something that runs largely on its own. - Automate Foodsmart’s recurring weekly and monthly client reporting in partnership with Data Engineering, so routine reporting runs on its own instead of eating analyst time every cycle. - Own the RFP data function: providing the analysis, benchmarks, and data cuts that Sales and the proposal team need, without owning the writing or the proposal process itself. - Create and own a standard system of client SLAs: which commitments we can validate and stand behind today, and act as the point person for evaluating whether to adopt new SLA asks from prospects or clients. - Build and maintain the foundational set of metrics Foodsmart uses externally: consistent, defensible numbers that Sales, Customer Success, RFP responses, and QBRs can all draw from rather than each function calculating its own version. - Be conversant in Foodsmart’s clinical ROI story well enough to represent it confidently in QBRs and client conversations, partnering with our Senior Director of Clinical Intelligence on the underlying technical model and any deep-dive analysis. - Act as the data consultant behind Foodsmart’s external narrative: make sure it’s built on accurate data, and help sharpen how it’s told, without owning the story or the external materials yourself. - Pull in expertise from across the analytics team, including member engagement and clinical outcomes, as needed to assemble a complete and accurate external story, rather than trying to own every domain’s data yourself. - Partner directly with Customer Success and Sales leadership as their embedded analytical lead, attending cadences and understanding what clients and prospects are actually asking for. - Represent Foodsmart directly in front of clients and prospects when needed, whether that’s presenting a QBR, supporting a sales call with data, or fielding technical questions during a deal. ### You are: - An operator who thrives in flat, fast-moving teams, comfortable owning a broad mandate with minimal oversight. - A confident external communicator. You’re comfortable being in the room with clients, prospects, and partners, translating data into a clear, credible story on the spot, not just producing the underlying analysis. - A systems thinker who’d rather build the infrastructure that makes dozens of QBRs easy than manually produce each one well. You see repetition as a signal to automate, not grind through. - A trustworthy data steward. When you say a metric or an SLA is solid enough to put in front of a client or a payer, that means something, and you’re comfortable being the person who has to actually validate that before it goes external. - A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), BI and reporting, and enough data science fluency to know when a number needs real rigor behind it before it goes external. - Deeply fluent with AI-native tooling. You default to using Claude, Claude Code, and in-BI AI agents to build and automate, and you have a point of view on how to use them to replace manual reporting work specifically. - Someone who treats AI as a real lever on your own output. You default to using it to build, automate, and extend your reach, and you’d rather scale this area through leverage than through headcount. ### You have: - 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. - 12+ 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. - 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. - Excellent written and verbal communication skills, with genuine comfort presenting data-driven narratives to external, non-technical audiences.