Build the data foundation that powers KoRo's AI and decisions
KoRo isn't a food company that happens to have data. We're a data company that happens to sell delicious, better-for-you food. Our edge has never been a single hero product, it's the engine behind it: 2.5m+ direct customer relationships, 50+ attributes per customer, 7m+ transactions, 200k+ reviews, and a test-and-learn loop that validates winners online before we scale them into retail in under six months.
Today that engine runs on strong analytics and sharp instincts & and mostly on our D2C data. The next frontier is connecting it: one intelligent view of the customer across D2C and retail, and a data model that captures how customers, products, and channels actually relate. AI is only as good as the data underneath it and that data is your domain.
As Director Data, you own the foundation: a trusted, connected, AI-ready data layer, the omni-channel customer intelligence built on top of it, and the self-service capability that lets every team work with data without waiting in a queue. You're the enabler and multiplier you make great data and AI possible across KoRo, rather than being the bottleneck everything routes through.
What you'll do
Own the data strategy. Define a multi-year roadmap focused on capability: the data foundations, models, and ways of working that unlock value across the whole company, the platform our AI, analytics, and decisions are built on.
Build the self-service backbone. Make clean, trusted, well-modeled data available where teams work. Stand up self-service analytics and BI so a product manager can validate an idea or a marketer can segment an audience without a ticket and a two-week wait.
Deliver AI-ready data. Make sure our data is structured, governed, and accessible enough that the AI Director and teams can build on it with confidence with the right pipelines, features, and access patterns so AI use cases aren't bottlenecked by messy or missing data.
Build omni-channel customer intelligence. Connect D2C and retail signals into one trustworthy view of the customer and the journey across online and shelf with identity resolution, unified segmentation, and the foundations for understanding how channels reinforce each other.
Pioneer graph-based data approaches. Model customers, products, channels, and behaviors as the connected graph they actually are on a foundation richer than flat tables that powers affinity and basket intelligence, recommendation, trend propagation, and downstream AI use cases.
Set the guardrails. Data governance, quality, privacy, and EU/GDPR-compliant customer-data use.
Lead and grow the data team. You'll shape the structure (data engineering, analytics, platform, embedded analysts), hire and develop talent, and raise the bar on craft and enablement.
Be the translator. Turn commercial questions into data capabilities and data capabilities into business value across every function.