AVP, Analytics & Data Science

Department:

We are Walker & Dunlop.  We are one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities — where people live, work, shop, and play — to life. We are committed to creating meaningful social, environmental, and economic change in our communities.

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 Engineering builds solutions that impact not only our products but also the people and processes across our organization. A commitment to innovation and a passion for disrupting the old-fashioned real estate industry are our highest priorities.  

The Impact You Will Have

As AVP, Data Analytics & Data Science, you will lead and scale our Analytics and Data Science functions within the Data organization. You will empower high-performing teams across Business Intelligence, Analytics, and Data Science to deliver insights that drive measurable business outcomes. Partnering closely with Data Engineering, Product, and Business leaders, you will embed data-driven decision-making into the core of the enterprise—accelerating innovation, strengthening collaboration, and advancing our data-driven culture within WDTech.

Primary Responsibilities

• Define and articulate the technical and strategic vision (“North Star”) for Analytics and Data Science, establishing a clear, phased roadmap for execution
• Partner with business and technology leaders to deliver actionable insights that drive measurable enterprise outcomes
• Oversee the development and deployment of advanced analytics, predictive models, experimentation frameworks, and business intelligence solutions
• Lead, mentor, and develop Analytics and Data Science leaders, elevating capabilities in data storytelling, modeling, experimentation, and delivery excellence
• Foster an exceptional team member experience across the employee lifecycle, including recruitment, onboarding, ways of working, performance management, and career development
• Ensure transparency in priorities, progress, and outcomes; proactively manage risks and eliminate delivery surprises
• Establish and uphold high standards for analytics quality, governance, KPIs, best practices, and service-level expectations
• Champion a culture of curiosity, innovation, accountability, and cross-functional collaboration
• Perform other duties as assigned

Education and Experience

• 8+ years of experience in Data Analytics, Business Intelligence, or Applied Data Science, including 5+ years leading multiple teams
• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Engineering)
• Proven experience defining and executing analytics strategies aligned to business priorities
• Demonstrated success recruiting, mentoring, and developing high-performing Analytics and Data Science teams
• Experience working with Data Engineering teams in cloud environments (AWS, Azure, or GCP) and cloud-based analytical databases (e.g., Redshift, BigQuery, SQL Server)
• Industry experience in Real Estate, Financial Services, or Capital Markets preferred

Knowledge, Skills and Abilities

• Deep expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex concepts into business impact
• Strong proficiency in business intelligence tools (e.g., Power BI, Tableau) and familiarity with modern data stack technologies
• Advanced knowledge of SQL, Python, and end-to-end analytics workflows, including data preparation, modeling, validation, and deployment
• Demonstrated ability to lead strategic analytics initiatives that deliver measurable business improvements
• Experience operating effectively within both fast-moving teams and large, complex organizations
• Working knowledge of Data Governance, Data Quality Management, and Machine Learning lifecycle management standards
• Ability to leverage AI tools to enhance technical documentation, software development, and testing processes
• Ability to show ownership of your work, take on challenges and acknowledge growth opportunities, and demonstrate patience when learning new processes
• Courtesy, respect, and thoughtfulness in teaming with colleagues and other stakeholders

This position has an estimated base salary of $170,000 - $185,000 p