VP, Analytics, Data Science & AI Data Enablement

Walker & Dunlop

. Set the vision and phased roadmap for business intelligence, analytics, data science, and AI-assisted analysis .

Posted 11/6/2026full-timeRemote • United StatesLead💰 $220,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and executing analytics strategies, leading high-performing teams, and implementing machine learning models and AI-assisted analysis. Proficient in data governance, statistical analysis, and modern BI tools to drive business intelligence and operational efficiency.

Highest-signal resume keywords

Analytics Strategy DevelopmentMachine Learning ImplementationData Governance ExpertiseLeadership in Data ScienceCloud Data Platforms Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceStatistical AnalysisMachine LearningData ModelingPredictive AnalyticsSQLPythonPower BITableau

Soft Skills

LeadershipCommunicationRelationship ManagementStrategic PlanningResults-Oriented Approach

Tools & Technologies

AWSAmazon RedshiftSnowflakeAI Analysis ToolsData Infrastructure

Industry Keywords

Capital MarketsFinancial ServicesCommercial Real EstateData QualityAnalytical Standards

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Set the vision and phased roadmap for business intelligence, analytics, data science, and AI-assisted analysis
Establish an operating model for partnering with business lines and delivering high-value analytics solutions
Define standards for analytical quality, KPIs, business metrics, and reporting consistency
Improve analytics delivery speed and quality through performance targets, measurement, and continuous improvement
Oversee business intelligence solutions, advanced analytics, and predictive models supporting capital markets, credit risk, servicing, sales, and other functions
Modernize reporting and analytics by transitioning legacy reporting to scalable, governed BI solutions
Enable business users to conduct AI-assisted analysis using governed data
Partner with Product, Engineering, AI Enablement, and Data Engineering teams to integrate analytics into workflows
Establish testing, validation, and monitoring practices for analytical and machine learning models
Lead shared business definitions, metrics, and semantic frameworks
Make business context and data definitions accessible to analysts, business users, and AI tools
Maintain data structures, knowledge resources, and retrieval approaches for AI-assisted analysis
Expand data definitions and analytical capabilities based on business priorities and demand
Lead, coach, and develop analytics and data science leaders and teams
Provide technical oversight of analytical models, queries, dashboards, and methodologies
Maintain reliable shared datasets and support data infrastructure for analytics and AI applications
Communicate analytics strategy, progress, performance, and business outcomes to executive leadership and stakeholders
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field required; master's degree preferred
12+ years of experience in data analytics, business intelligence, applied data science, or a related field
At least 7 years of experience leading multiple teams
Experience developing and executing analytics strategies aligned with business priorities and measurable organizational outcomes
Experience improving analytics delivery, operational efficiency, and analytical quality
Experience implementing machine learning models, predictive analytics, and AI-assisted analysis in production environments
Experience recruiting, developing, and retaining high-performing analytics and data science teams
Experience with cloud data platforms, preferably AWS, and cloud analytical databases such as Amazon Redshift or Snowflake
Experience in commercial real estate, financial services, or capital markets preferred
Strong knowledge of statistical analysis, machine learning, and data modeling
Working knowledge of Power BI or Tableau, SQL, and Python
Practical understanding of modern AI analysis tools and responsible implementation practices
Strong knowledge of data governance, data quality, access controls, and analytical standards
Understanding of semantic layers, metric definitions, and business context
Ability to translate business priorities into actionable analytics initiatives
Excellent written and verbal communication skills
Strong leadership and relationship management skills
Ability to balance strategic planning, technical oversight, operational priorities, and timely execution
Strong ownership, accountability, and results-oriented approach
Ability to take on challenges, acknowledge growth opportunities, and demonstrate patience when learning new processes
Courtesy, respect, and thoughtfulness when working with colleagues and stakeholders

Benefits

Comp & perks

Comprehensive benefit options
Up to 83% subsidized medical payroll deductions
Competitive dental and vision benefits
401(k) + match
Pre-tax transit and commuting benefits
Health and wellness program with cash rewards and health, engagement, and balance resources
Paid maternity and parental leave
Other family paid leave programs
Company-paid life, short-term, and long-term disability insurance
Health Savings Account
Healthcare and Dependent Care Flexible Spending Accounts
Career development opportunities
Volunteer hours and donation matching
Opportunity to join one of Fortune Magazine’s Great Places to Work winners