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Job description:
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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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