Note: The job is a remote job and is open to candidates in USA. Burq is a company focused on simplifying the delivery process through innovative technology. They are seeking a Head of Data & AI to lead the development of a data and machine learning platform that enhances delivery intelligence and optimizes decision-making processes.
Responsibilities
- Own the full data platform — the warehouse, streaming and batch ingestion, the semantic layer, and BI infrastructure
- Define and enforce data governance — access management, quality standards, and a well-modeled, trustworthy "gold" layer
- Make the warehouse the source of truth for operational, product, and financial analytics
- Build the models that power delivery intelligence — forecasting, prediction, optimization, matching/allocation, and reliability scoring that turn our data into better real-time decisions
- Stand up the ML systems that make this real and reliable: feature pipelines, training, serving, evaluation, and drift monitoring
- Design the learning loop — instrument decisions and outcomes so models continuously improve
- Drive the AI agent initiative to production, partnering with product and engineering on the surrounding workflows
- Manage and grow the data and ML team (starting from a small core) — hire data engineers, analytics engineers, and data scientists/ML engineers as the platform matures
- Establish a clear intake process for ad hoc data requests so the team works from a roadmap, not in reactive mode
- Partner with Sales, Customer Success, and Finance on data-driven analyses and decisions
Skills
- 8+ years in data/ML, including 2+ years in a leadership or staff-level role owning a data or ML platform
- Player-coach — you lead a team and still go deep in the technical work: architecture, modeling, and code review
- Strong on both halves of the role: Data platform — modern data warehouse design (e.g., Snowflake/BigQuery), streaming + batch ingestion, dbt or equivalent, performance and cost optimization, governance
- Machine learning — you've built and shipped production models (forecasting, optimization, ranking/matching, or prediction) with real business impact, plus the ML systems around them (feature pipelines, serving, monitoring/MLOps)
- Experience building data and ML products, not just pipelines — you understand how data and models serve product and business goals
- Strong stakeholder management — you can say no to an ad hoc request with a good reason and a better alternative
- Familiarity with modern AI/LLM and agentic data work is a strong plus
- Experience at a high-growth startup or scale-up where the platform was built, not inherited
Benefits
- Competitive salary, stock options, and performance-based bonuses
- Fully remote
- Comprehensive medical, vision, and dental insurance
Company Overview