Analytical Engineering Manager Vancouver, BC

Asana; Vancouver; Hybrid; CAD 167,000 - 178,000; Full time

Benefits offered by this job

Mental health, wellness & fitness

Career coaching & support

Inclusive family building benefits

Long-term savings or retirement plans

In-office culinary options

Job summary

Asana is seeking an Analytical Engineering Manager in Vancouver to lead a team responsible for data foundations, including the Gold layer, canonical metrics, certified dashboards, and semantic layers that underpin AI-powered self-serve.

You will operate at the intersection of Data Engineering, Analytics, and Data Science, ensuring business stakeholders trust the data in your domains and can answer questions without routing to your team.

Qualifications

• Led analytics engineering, data engineering, or analytics teams with a focus on data products.
• Strong background in data modeling, semantic layers, and trusted metrics.
• Experience shipping governed data products and data contracts.
• Proven ability to translate business needs into data roadmaps.

Responsibilities

• Lead, grow, and develop a team of Analytical Engineers and set data-quality standards.
• Own the Gold layer and semantic-layer strategy across domains and dashboards.
• Treat insights as products with owners, cadences, and SLAs.
• Enable self-serve with trusted metadata and AI-ready data products.
• Collaborate with cross-functional teams to contract data SLAs at boundary levels.

Skills

Advanced SQL

Data modeling

Semantic layer design

dbt

Databricks

Team leadership

Stakeholder management

Tools

Unity Catalog

Looker/LookML

reverse-ETL/activation

Salesforce

Marketo

Gainsight

Job description

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 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. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner.

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 to 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

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

• 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.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between 167,000 - 178,000 CAD annually. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• 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

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations.

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.