Director, Product Management

Reonomy; Houston (TX); Hybrid; USD 180,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Professional growth & learning

Flexible work model

Job summary

Altus Group in the United States seeks a Director of Data & AI Product Management to lead strategy, development, and delivery of data and AI-enabled CRE products. You will treat CRE data as a strategic asset and manage partnerships to create measurable client value.

You will own the product roadmap, data strategy, responsible AI practices, and commercial outcomes while leading a high-performing team across clients, data partners, engineering, and sales.

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 with commercial real estate data (property, transaction, lease, valuation, market).
• Required: Experience sourcing, negotiating, or managing third-party data partnerships (licensing/redistribution).
• Experience taking data/ML/AI features from prototype to production at scale.
• Strong expertise in data and AI product strategy and Agile delivery.
• Knowledge of CRE data markets, licensing, and partnerships.
• Experience using customer insights and data analysis to guide product decisions.
• Understanding of data governance, quality, lineage, and licensing compliance.
• Practical knowledge of ML/LLM capabilities, limitations, and evaluation.
• Understanding of responsible AI governance and risk management.
• Experience developing pricing and commercialization strategies for data and AI products.
• Strong executive communication and presentation skills.

Responsibilities

• Define and evolve the strategy for Altus Group’s data and AI product portfolio.
• Assess CRE data landscape to identify gaps and opportunities for datasets and AI capabilities.
• Treat data as a product with clear ownership, quality, lineage, and governance.
• Identify opportunities to use AI and data science to create new products and drive value.
• Establish measurable product outcomes including adoption, accuracy, and revenue impact.
• Own the strategy for third-party CRE data, including licensing and exclusivity.
• Evaluate data partners for quality and long-term viability.
• Structure data partnerships (licensing, revenue-share, white-label).
• Develop and maintain the product roadmap with cross-functional teams.
• Lead agile delivery: requirements, prioritization, backlog, quality standards.
• Collaborate with Sales on pricing and packaging for data subscriptions and APIs.
• Monitor competitors and emerging AI capabilities; communicate strategy to leadership.
• Build and lead a high-performing data product team; recruit and coach.

Skills

CRE data

Data strategy

Product management

Agile delivery

Executive communication

Partnership strategies

Pricing strategy

Governance & compliance

Education

Advanced degree in quantitative field

Job description

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 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.

Unlock your Altus Experience!

If you’re looking to advance your career in in an industry that is transitioning for greatness, there’s no better place than Altus Group.

Our high trust, high performance culture prioritizes progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognized and connected.

We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.

What Altus Group offers:

• Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.
• Growth and development:we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
• Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work - use the office for collaboration and remote work for focused tasks.

Inclusivity & Accessibility

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.If you need accommodation, please contact us at [e-mail] or [phone].

Use of Artificial Intelligence

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.

Background Checks

Please note that as part of our commitment to maintaining a safe and secure workplace, 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.