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About the Role

The Director, Data & AI Product Management will lead the strategy, development, and delivery of Altus Group’s data and AI-enabled products. This role will treat commercial real estate (CRE) data as a strategic asset, identifying which data and AI capabilities to build, acquire, license, or access through partnerships to create measurable client and commercial value. The Director will own the product roadmap, data strategy, delivery, responsible AI practices, and commercial outcomes while leading a high-performing team and partnering closely with clients, data partners, engineering, sales, marketing, and senior leadership.

Responsibilities

Define and evolve the strategy for Altus Group’s data and AI product portfolio, aligned with company strategy and risk appetite.
Assess the CRE data landscape to identify gaps and opportunities and determine which datasets and AI capabilities should be built, acquired, licensed, or accessed through partnerships.
Treat data as a product, establishing clear standards for ownership, quality, lineage, freshness, and governance.
Identify opportunities to use AI, analytics, and data science to create new products, improve client outcomes, and drive commercial value.
Establish measurable product outcomes, including adoption, accuracy, coverage, time-to-insight, retention, and revenue impact.
Own the strategy for third-party CRE data, including property, transaction, lease, market, valuation, and economic datasets.
Identify, evaluate, and manage data partners, including data quality, licensing, exclusivity, redistribution rights, and long-term viability.
Structure data partnerships, including licensing, revenue-share, co-development, data exchange, and white-label arrangements.
Develop and maintain the product roadmap, aligning product management, data engineering, architecture, UX, and development teams.
Lead agile product delivery, including requirements, prioritization, backlog management, and quality standards.
Partner with Sales on pricing and packaging for data subscriptions, APIs, feeds, and AI-enabled offerings.
Monitor competitor data products and emerging AI capabilities and communicate product strategy to Sales, Marketing, and senior leadership.
Build and lead a high-performing team of product managers, data product owners, and analytics specialists.
Lead recruitment, performance management, coaching, and development of the team.

Requirements

Advanced degree in computer science, engineering, data science, economics, real estate, or another quantitative discipline.
10+ years of product management experience, including at least 5 years leading data, analytics, or AI products.
Hands-on experience working with commercial real estate data, such as property, transaction, lease, valuation, or market datasets.
Experience sourcing, negotiating, or managing third-party data partnerships, including licensing and redistribution terms.
Experience taking data products, machine learning solutions, or generative AI features from prototype through production at scale.
Strong expertise in data and AI product strategy, product management, and agile delivery.
Strong knowledge of CRE data markets, data sourcing, licensing, and partnership strategies.
Experience using customer insights, user research, and data analysis to guide product decisions.
Strong understanding of data governance, data quality, lineage, and licensing compliance.
Practical knowledge of machine learning and LLM capabilities, limitations, and evaluation methods.
Understanding of responsible AI practices, governance, and risk management.
Experience developing pricing and commercialization strategies for data and AI products.
Strong executive communication and presentation skills, with experience presenting innovation and product strategy to senior and external audiences.

Skills

Data & AI Product Management
Commercial Real Estate Data
Data Partnerships
Product Roadmap Development
Agile Delivery
Pricing and Packaging
Machine Learning
Generative AI
Data Governance
Data Quality
Data Lineage
Licensing Compliance
Responsible AI Practices
Executive Communication

Location

Remote

Work Type

Hybrid
Full-time

Experience Level

Director
10+ years of product management experience
5+ years leading data, analytics, or AI products

Education Level

Advanced degree in computer science, engineering, data science, economics, real estate, or another quantitative discipline.

Salary/Compensations

$180,000 - $210,000 USD

Benefits

Competitive compensation
Incentive and bonus plans
Total rewards package prioritizing mental, physical, and financial well-being
Professional learning opportunities
Access to Altus Intelligence Academy (over 150,000 hours of learning content)
Activity-Based Work model providing flexibility

About the Company

Altus Group is a global business in the commercial real estate industry.
They foster a high trust, high performance culture with progressive programs.
They offer boundless opportunities, mentorship, and access to industry-leading data, tools, and technology.

Equal Opportunity

Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Applicants with disabilities may contact Altus Group to request and arrange for accommodations.
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.