Director, Product Management

Altus Group

. Define and evolve the strategy for Altus Group’s data and AI product portfolio, aligned with company strategy and risk appetite .

Posted 11/5/2026full-timeUnited StatesLead💰 $180,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data and AI product strategy, product management, and agile delivery, with a strong focus on commercial real estate data and partnerships. Proven ability to lead teams, develop product roadmaps, and drive measurable outcomes in data products.

Highest-signal resume keywords

Data Product ManagementAI Product StrategyCommercial Real Estate DataAgile DeliveryData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningData QualityData LineageProduct Roadmap DevelopmentPricing StrategyData LicensingUser ResearchGenerative AIData Partnerships

Soft Skills

Executive CommunicationTeam LeadershipCoachingPerformance ManagementPresentation Skills

Certifications & Qualifications

Advanced Degree in Computer ScienceAdvanced Degree in Data ScienceAdvanced Degree in EconomicsAdvanced Degree in Real Estate

Industry Keywords

Commercial Real EstateData GovernanceData SourcingData Quality StandardsAI CapabilitiesData ProductsMarket DatasetsData OwnershipRisk ManagementData Analytics

About the role

Key responsibilities & impact

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 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 with 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

What you’ll need

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

Benefits

Comp & perks

Competitive compensation, incentive and bonus plans
Total rewards package prioritizing mental, physical, and financial well-being
Professional learning and development opportunities
Access to the Altus Intelligence Academy with over 150,000 hours of learning content
Flexible work model using the office for collaboration and remote work for focused tasks
Mentorship from the best and brightest in CRE
Access to industry data sets, tools, and technology
Inclusive work environment
Disability accommodations
Background checks conducted in compliance with local laws and regulations