Director, Product Management

Altus Group•New York, NY
•$180,000 - $210,000•Hybrid

About The Position

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

Requirements

  • 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.
  • 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.

Nice To Haves

  • Experience taking data products, machine learning solutions, or generative AI features from prototype through production at scale.

Responsibilities

  • Define and evolve the strategy for Altus Group’s data and AI product portfolio in alignment 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 by establishing standards for ownership, quality, lineage, freshness, and governance.
  • Identify opportunities to use AI, analytics, and data science to create 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.

Benefits

  • Competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.
  • Professional learning and development opportunities, including access to the Altus Intelligence Academy and its more than 150,000 hours of learning content.
  • Flexible work model that allows work location to align with work needs, including office collaboration and remote focused work.
  • Mentorship from CRE professionals and access to industry data sets, tools, and technology.
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