Analytical Engineering Manager (AI Analytics)

Location: Vancouver, BC, Canada. Office-centric hybrid schedule with in-office days on Monday, Tuesday, and Thursday; work from home on Wednesday and, depending on the work and partner teams, Friday.

Salary: 167,000–178,000 CAD annually. Equity and benefits may also be included.

Company

Asana provides a collaboration platform that helps organizations align teams, manage work, and use AI to accelerate organizational impact.

What you will do

• Lead, hire, coach, and develop a team of Analytical Engineers while setting standards for data-model quality and stakeholder trust.
• Own the Gold-layer and semantic-layer strategy across business domains, including curated models, canonical metrics, dashboards, and Genie spaces.
• Build a catalog of trusted, versioned data products with defined owners, cadences, and SLAs.
• Enable self-service analytics through governed Gold tables, metric definitions, metadata, Claude, and Databricks Genie.
• Partner with Data Science, Data Engineering, Data Infrastructure, and business teams on data contracts, SLAs, prioritization, automation, and sunsetting low-value work.
• Manage run-rate and data costs while making explicit build-versus-buy and stop-doing decisions.

Requirements

• 3+ years managing or leading analytics engineers, data engineers, or analysts, with progression into people management.
• Advanced SQL, data modeling, semantic-layer design, and dbt or an equivalent transformation framework.
• Experience with modern warehouse or lakehouse platforms; Databricks is preferred.
• Track record of delivering governed Gold tables, canonical metrics, and semantic layers that reduce ad-hoc work and build stakeholder trust.
• Strong stakeholder management, roadmap ownership, metric-definition alignment, and communication of technical trade-offs to non-technical audiences.
• Sound judgment in prioritization, sunsetting low-value work, and managing data cost and run-rate.

Nice to have

• Exposure to Unity Catalog, Looker or LookML, and reverse-ETL or activation tools such as Salesforce, Marketo, or Gainsight.
• Curiosity about AI-native analytics, NL2SQL, and self-service tools such as Claude and Databricks Genie.

Culture & Benefits

• Office-centric culture with hybrid work practices.
• Mental health, wellness, and fitness benefits.
• Career coaching and professional support.
• Inclusive family-building benefits and long-term savings or retirement plans.
• In-office culinary options and benefits that vary by role, country, and local regulations.