Director, Data
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Job Description
Director of Data at Honeycomb.io overseeing data engineering and analytics teams. Creating data-driven strategies and leading a talented group to integrate insights into business decisions.
Responsibilities:
- 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).
Requirements:
- Extensive experience in data analysis, data engineering, or related fields, and have led a high performing team across both data engineering and data analytics disciplines.
- Proven ability to thrive in a fast-paced environment, working both independently and as a hands-on team leader.
- Proven track record in developing and executing data strategies that drive business outcomes.
- Experience with scaling data infrastructure and tools in high-growth environments, with strong proficiency in SQL, data visualization tools (e.g., Mode, Tableau, Looker), and data engineering tools (e.g., dbt).
- Solid understanding of data science tools and techniques (Python and related libraries), with the ability to apply them as needed.
- Excellent communication skills with the ability to present complex data insights to executive and non-technical audiences.
- Exceptional problem-solving skills, paired with a strategic mindset and the ability to prioritize effectively in a scrappy, fast-changing environment.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; or equivalent experience.
Benefits:
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge - Unlimited PTO and paid sabbatical
- A distributed-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
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