Director, Product Management

Compensation Range:$180,000 - $210,000 USD Compensation

Disclaimer:

The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.

Job Summary:

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.

Key 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.

Key

Qualifications:

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.

Required:

Hands-on experience working with commercial real estate data, such as property, transaction, lease, valuation, or market datasets.

Required:

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 ong 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…