Lead, Analytics Engineering

As a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision makers across investor, occupier, and public sector client segments. You will partner with our clients, advisory team, and leadership to design solutions that support complex use cases across portfolio analysis, site and market search, and highest and best use.
The ideal candidate combines deep familiarity with commercial real estate strategy and data with strong product management expertise to translate complex needs into scalable, insight-driven solutions. They excel at partnering with stakeholders to shape strategy and test value and with engineering teams to deliver usable products.
The base salary is aligned with market data and is estimated to be between $130,000 to $160,000 with the ability to achieve additional compensation through a bonus. This salary range reflects base compensation for the position across all Canadian locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity. This posting is for an existing vacancy withing our organization.
Responsibilities
Lead the full lifecycle – from discovery and concept development, to test, scale, launch, and iteration – for data products and data science models.
Develop mathematical and algorithmic approaches to address complex commercial real estate decisions overseeing the work of the data science and data engineering teams.
Participate in the daily development processes with the engineering, data science, and product teams to deliver usable data products, directly contributing to the business and technical requirements and testing and validation of the data products.
Manage data and technology vendor relationships through renewals, delivery timeliness, and data evaluation.
Ensure compliance and responsible data usage and governance practices across all data products and workflows.
Collaborate with clients, advisory team, and leadership to assess client needs, test value, and guide direction of data products.
Support go-to-market teams with positioning and product market fit of new and upcoming products.
Communicate strategy, roadmap and release plans to internal stakeholders and to clients.
Define and track success metrics on delivered data products.
And other duties as assigned.
Qualifications
Bachelor’s degree in data analytics, data engineering, business, real estate, or a related field.
Minimum of 10 years of experience in commercial real estate strategy, with at least 5 years working directly with technology, data, and analytics.
Strong understanding of SQL, data architecture, data pipelines, and geospatial datasets.
Strong understanding of commercial real estate strategy.
Excellent verbal, written, and presentation skills.
A self-starter with a proactive and entrepreneurial mindset. Proven ability to influence without authority and build strong, collaborative relationships across teams.
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