Analytical Engineering Manager
Vancouver, BC 
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 actually work. 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. 
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard
in-office days are Monday, Tuesday, and Thursday, with the option to work from home on
Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're
interviewing for this role, your recruiter will share more about the in-office expectations.
What you'll achieve:

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.
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.
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.
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.
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.
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.

About you:

3+ 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 that lets you set the bar: advanced SQL,
data modeling and semantic layer design, dbt or an equivalent transformation framework, and
modern warehouse/lakehouse platforms (Databricks preferred).
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.
Strong stakeholder management with senior cross-functional partners and leadership: translating
ambiguous business needs into roadmaps, driving alignment on metric definitions, and explaining
technical tradeoffs to non-technical audiences.
Sound judgment on prioritization, sunsetting low-value work, and managing data cost and
run-rate.
Curiosity about AI-native analytics — NL2SQL, semantic layers for self-serve, and using tools
like Claude and Genie to multiply your team's reach rather than replace rigor. Exposure to
Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a
plus.

What we'll offer:
Our compensation package reflects the impact you have on our mission. We benchmark to market
value and conduct a yearly pay equity audit to keep pay fair and free of bias. For this role,
the estimated base salary range is 167,000 - 178,000 CAD annually. Actual base salary varies
based on market and individual qualifications assessed during the interview process, and the
range may be modified. Your total package may also include equity and benefits; your Talent
Acquisition Partner can walk you through the full picture.
We strive to provide equitable, competitive benefits that support our employees worldwide,
which may include:

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

Benefits vary based on role, country, and local regulations.
About us
Asana is a leading platform for human + AI collaboration. Over 170,000 customers rely on Asana
to align teams and accelerate organizational impact — bringing clarity to complexity and
turning plans into action with AI working alongside teams at every step. We invest in our
culture and our people because that's what fuels our growth and lets us achieve our
mission. Asana is an equal opportunity employer, and building a diverse, equitable, and
inclusive company is core to who we are.About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world
rely on Asana to achieve their most important goals, faster. Asana has been named to
Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner
for excellence in workplace culture and innovation. We offer an exceptional office-centric
culture while adopting the best elements of hybrid models to ensure that every one of our
global team members can work together effortlessly. With 13+ offices all over the world, we are
always looking for individuals who care about building technology that drives positive change
in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that
Asana upholds an environment where all people feel that they are respected and valued, whether
they are applying for an open position or working at the company. We provide equal employment
opportunities to all applicants without regard to race, color, religion, age, sex, national
origin, disability status, genetics, protected veteran status, sexual orientation, gender
identity or expression, or any other characteristic protected by law.
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