SVP of Product – Data, Analytics, AI/ML

Department Overview

WDTech is W&D’s in-house technology team – a group of collaborative and highly skilled technology professionals, all of whom are leading experts in real estate data, data science, and technology. 

WDTech Product works hand-in-hand with the business to translate business outcomes into actionable product strategies, aligning user needs with innovative solutions, via close collaboration with our engineering partners, to ensure W&D maintains a competitive advantage as our technology landscape and target market rapidly evolve.   

The Impact You Will Have  

As Senior Vice President, Product – Data, Analytics & AI/ML, you will lead the product strategy and vision for Walker & Dunlop’s enterprise data platform, business intelligence and analytics capabilities, and artificial intelligence and machine learning (AI/ML) product portfolio. This role is responsible for helping transform the firm’s data assets into scalable business capabilities that support decision-making, client experiences, operational effectiveness, and long-term growth. 

Reporting as a senior product executive, this leader will partner closely with Data Engineering, WDSuite Product, Engineering, and business leaders to deliver trusted, scalable, and well-governed data and AI-enabled capabilities across the organization. Success in this role will be measured by platform adoption, business impact, product delivery, and the effectiveness of data, analytics, and AI/ML capabilities across the firm. 

Primary Responsibilities 

• Define and lead the product vision, strategy, and roadmap for enterprise data platforms, analytics capabilities, and AI/ML products.  

• Lead the product management function supporting enterprise data platforms, including data warehousing, data lakes, semantic layers, and data access patterns.  

• Define and oversee product strategies for self-service analytics, executive reporting, embedded analytics, and decision-support capabilities across business units.  

• Lead the AI/ML product portfolio, including predictive models, document intelligence, retrieval and generative AI experiences, and AI-assisted decision-support capabilities.  

• Evaluate and prioritize data, analytics, and AI/ML initiatives to align investments with business priorities and product strategy.  

• Partner with Data Engineering, Product, Engineering, Design, Infrastructure, and business teams to deliver scalable platform and product capabilities.  

• Establish standards and oversight practices related to governance, reliability, auditability, and responsible AI usage within enterprise data and AI-enabled products.  

• Define and monitor KPIs related to platform adoption, analytics usage, model performance, and business impact.  

• Build strong partnerships across business and technology teams to align product priorities and maximize adoption and value delivery.  

• Mentor and develop product leaders and team members to