Description:
The Product Manager, Data & AI reporting directly into the Global Head of Data & AI will own the strategy, roadmap, and delivery of data products that support Colliers’ global commercial real estate platform. This role sits at the intersection of business and technology, translating real-world CRE problems into scalable data and AI solutions.
You will work closely with the data & AI team, engineering, cloud partners (GCP, Azure), and business stakeholders across regions to deliver products that are secure, compliant, and locally relevant while scaling globally. This is a hands-on product role focused on outcomes, adoption, and business impact not experimentation for experimentation’s sake.
- Define and own the product vision and roadmap for data and AI products aligned to Colliers’ global strategy
- Identify high-value use cases across commercial real estate (e.g., leasing, property management, capital markets, valuation, market intelligence, portfolio analytics, document automation)
- Balance global standardization with regional and market-specific needs
- Translate business problems into clear product requirements, user stories, and success metrics
- Partner with data, engineering, and infrastructure teams to deliver products on our cloud platforms
- Manage backlog prioritization, release planning, and iterative delivery
- Ensure products meet enterprise standards for security, compliance, and data governance
- Act as the primary product interface between business leaders, brokers, researchers, and technical teams
- Ensure AI products are explainable, trustworthy, and usable by non-technical users
- Support responsible AI practices, including model monitoring, bias awareness, and governance
- Partner with change management and enablement teams to drive adoption and impact
- Define KPIs to measure product success, adoption, and ROI
What You Bring
- 5+ years of experience in product management, preferably with data, analytics, or AI-enabled products
- Strong understanding of data platforms, analytics, and AI/ML concepts
- Experience working in complex, enterprise environments with global stakeholders
- Experience in commercial real estate, financial services, or another asset-heavy industry
- Experience building products on Google Cloud (BigQuery, Vertex AI, Apigee, Looker, etc.)
- Familiarity with data governance, privacy, and enterprise compliance requirements
- Experience working with distributed, global teams
- Proven ability to translate ambiguous business problems into shipped products
- Excellent communication and stakeholder management skills