Leading the Enterprise Product Management team focusing on AI enabled products at Morgan Stanley. Collaborating with technology and governance frameworks for product lifecycle and strategy alignment.
About the role
- Product Manager overseeing the strategy and delivery of AI-driven data products for Colliers' commercial real estate platform while collaborating with global teams and stakeholders.
Responsibilities
- 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.
- 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.
Requirements
- 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.
Benefits
- Innovative projects: Work on cutting-edge initiatives that shape our communities, drive our growth, and make a tangible impact.
- Career growth: Advance your career and achieve your goals with industry-leading training and development programs.
- Competitive benefits & compensation: Enjoy a comprehensive and flexible benefits package along with competitive compensation that rewards your contributions and supports your well-being.
- Collaborative culture: Join our enterprising team where innovation thrives, collaboration is key, and our people are empowered to be their authentic selves and do their best work.
- Diversity, Equity & Inclusion: Our robust North American Diversity & Inclusion Program features eight Employee Resource Groups (ERGs), where you can connect, learn, and contribute to a diverse and supportive community.
- Global network: Join a global team of 24,000 professionals across 70 countries, where you'll expand your network and learn from experts in a dynamic international community.
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