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 equity.
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.
Our Equal Opportunity Commitment
Our Equal Opportunity Commitment
Avison Young is proud to be an equal opportunity employer, committed to promoting diversity and inclusivity within our workforce. Our non-discrimination policy ensures that all individuals are treated equally, regardless of race, gender, religion, sexual orientation, or disability. We believe in fostering a positive and inclusive work environment that values accessibility and fair recruitment practices for all employees. We hope you will join us in committing to create a workplace that is fair, equitable, and welcoming to all.
Benefits offered to full time W2 employees
Traditional and Roth 401k with generous employer match and immediate vesting
12 weeks of Paid Parental Leave after one year of tenure
Medical, Dental, Vision Insurance
Company paid Life and AD&D Insurance
Company paid Short & Long-Term Disability
Voluntary Critical Illness and Accident Coverage
Healthcare, Dependent Care, Commuter & Transit Pre-Tax Benefits
Wellness program
Employee Assistance Program (EAP)
Work-Life Balance
Competitive paid vacation days
2 personal/wellness days
Paid holidays plus 2 floating holidays
Annual volunteer day for Day of Giving
