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Analytical Engineering Manager

asana· 40 open roles

Vancouver, British Columbia On-siteFull-time3 days ago
Salary
$167,000 - $178,000
Experience
Mid
Job Type
Full-time
Posted
3 days ago
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About This RoleAI processing…

Analytical Engineering Manager The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actuall

Key Responsibilities

  • 1
    Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, and set a high bar for data-model quality and stakeholder trust.
  • 2
    Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on.
  • 3
    Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds.
  • 4
    Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databricks Genie trustworthy, so stakeholders can answer routine questions without coming to your team.
  • 5
    Partner with Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs at the Silver→Gold boundary, and decide what to build, what to automate, and what to sunset.
  • 6
    Manage prioritization, run-rate, and cost as first-class metrics — making explicit build-vs-buy and stop-doing trade-offs rather than letting low-value work quietly erode the team's capacity.

Requirements

  • A track record of shipping trusted data products — governed Gold tables, canonical metrics, and semantic layers — that meaningfully reduced ad-hoc work and earned stakeholder trust.
  • You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questions without routing through your team.
  • What we’ll offer Our comprehensive compens ation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission .
  • The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview pr ocess .

Perks & Benefits

Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences

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