• Lead and develop a world-class team across data engineering, analytics, and (as needed) applied data science—creating clarity, psychological safety, and alignment to business goals. • Setting our strategy and operating rhythm (roadmaps, quality gates, on-call/incident patterns where appropriate, metrics, forecasting, etc) working closely with stakeholders to set clear direction and then make progress, balancing speed and sustainability. • Be hands-on early—writing SQL, prototyping models, reviewing PRs, and unblocking critical work—while also shifting leverage to the team as it grows. • Define and execute Honeycomb’s data strategy you will develop and implement a long-term data strategy that aligns with Honeycomb’s business goals, and contribute to short term priorities across all functions to deliver immediate business value.(self-serve dashboards, trusted metrics, instrumentation gaps closed, etc.). • Make insight a product, not a report: build reliable, fast, self-serve analytics that leaders and teams actually use—you will oversee the development of advanced analytics, dashboards, and reports that provide fast, actionable insights to stakeholders across the organization. • Drive data-informed decisions across functions (Product, Engineering, GTM, Finance, People) by translating complex analyses into crisp narratives and concrete tradeoffs. • Partner tightly with Product & Engineering so data directly informs roadmap decisions, customer experience, and feature prioritization. • Evolve our data architecture to be robust, performant, and cost-aware—improving pipelines, warehouses/lakehouses, orchestration, and implementation of ETL/ ELT processes (e.g., dbt, Airflow, or similar).