The opportunity
Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by…
What you'll do
Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, setting a high bar for data-model quality and stakeholder trust.
Own the Gold layer and semantic-layer strategy across your team's domains: (e.g. PLG, marketing, revenue, NPI/AWM), taking accountability for curated data models, canonical metrics, dashboards, and Genie spaces.
Treat every recurring insight as a product with an owner, a cadence, and an: SLA, building a catalog of trusted, versioned data products instead of one-off rebuilds.
Drive self-serve enablement by prioritizing Gold tables, governed metric: definitions, and metadata that make Claude and Databricks Genie trustworthy for stakeholders.
Partner with Data Science, Data Engineering, Data Infrastructure, and: business teams to author data contracts and SLAs at the Silver→Gold boundary, deciding what to build, automate, or sunset.
Manage prioritization, run-rate, and cost as first-class metrics, making: explicit build-vs-buy and trade-off decisions to protect team capacity.
What they're looking for
- Demonstrates curiosity about AI tools and emerging technologies, with a: willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
- + years managing or leading a team of analytics engineers, data engineers, or: analysts, with a clear trajectory into people management.
- A strong analytical-engineering technical foundation: advanced SQL, data modeling, semantic layer design, dbt or equivalent frameworks, and modern warehouse/lakehouse platforms (Databricks preferred).
- A track record of shipping trusted data products (governed Gold tables,: canonical metrics, semantic layers) that meaningfully reduce ad-hoc work and earn stakeholder trust.
