Overview
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 between $145,000 to $165,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors including relevant education/training, experience, and internal equit
y.
Responsibilit
- iesLead the full lifecycle – from discovery and concept development, to test, scale, launch, and iteration – for data products and data science mode
- ls.Develop mathematical and algorithmic approaches to address complex commercial real estate decisions overseeing the work of the data science and data engineering tea
- ms.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 produc
- ts.Manage data and technology vendor relationships through renewals, delivery timeliness, and data evaluati
- on.Ensure compliance and responsible data usage and governance practices across all data products and workflo
- ws.Collaborate with clients, advisory team, and leadership to assess client needs, test value, and guide direction of data produc
- ts.Support go-to-market teams with positioning and product market fit of new and upcoming produc
- ts.Communicate strategy, roadmap and release plans to internal stakeholders and to clien
- ts.Define and track success metrics on delivered data produc
- ts.And other duties as assign
ed.
Qualificat
- ionsBachelor’s degree in data analytics, data engineering, business, real estate, or a related fi
- eld.Minimum of 10 years of experience in commercial real estate strategy, with at least 5 years working directly with technology, data, and analyt
- ics.Strong understanding of SQL, data architecture, data pipelines, and geospatial datas
- ets.Strong understanding of commercial real estate strat
- egy.Excellent verbal, written, and presentation ski
- lls.A self-starter with a proactive and entrepreneurial mindset. Proven ability to influence without authority and build strong, collaborative relationships across te
ams.