VP, Analytics, Data Science & AI Data Enablement
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
VP leading analytics, data science, and AI enablement for Walker & Dunlop’s commercial real estate finance business. Modernizing BI, predictive modeling, governance, and AI-assisted analysis.
Responsibilities:
- 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:
- 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:
- 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
Similar Jobs
Senior Solution Sales Executive – Data & Analytics – Healthcare
ServiceNow Data & Analytics sales executive selling AI, data, and analytics solutions to healthcare customers. Leading strategic sales cycles, executive discovery, demos, and adoption.
Junior Data Analyst
Analista de Dados Júnior desenvolvendo soluções de BI e dashboards em Power BI para o Grupo Bancorbrás. Apoio a decisões baseadas em dados em turismo, consórcios e seguros.
Manager – Data & Analytics, Banking and Capital Markets
Data and analytics manager guiding banking and capital markets clients through analytics roadmaps, predictive models, and data modernization. CrossCountry Consulting helps CFOs transform finance operations with data, AI, and technology.
Data Analyst
Lead Data Analyst transforming complex claims and survey datasets into insights for Avar Consulting's CMS policy research contract. Applying statistical methods, machine learning, and data visualization.
Senior Data & Analytics Solution Sales Executive – Financial Markets
Senior sales executive selling ServiceNow’s AI, data, and analytics portfolio to financial-market customers. Leading discovery, demos, account strategy, and end-to-end sales cycles.
Working Student: Business Intelligence – Reporting, Data Analytics
Werkstudent:in supporting Qlik Sense BI reporting, dashboards, and data quality. Helping Austrian company teams turn business data into informed decisions.
Client Data & Analytics Lead
Client Data & Analytics Lead helping energy utilities build modern analytics capabilities with Kraken’s AI-driven energy platform. Advising data leaders and shaping client-focused data products.
Analyst / Senior Analyst, Data Quality
Data quality analyst investigating P&C insurance data and building controls. Supporting Ledgebrook’s AI-native specialty insurance platform through reliable reporting and analytics.
Data Analyst II
Data Analyst II managing network capacity dashboards, incidents, and cloud networking issues. Supporting customer capacity planning through monitoring, troubleshooting, documentation, and automation.
Senior Manager, Data Analytics
Senior Data Analytics Manager leading five analysts and data scientists at Babylist. Scaling AI-native analytics across eCommerce, health, and supply chain.
Senior Manager, Data Analytics
Senior Manager leading AI-native analytics across Babylist’s e-commerce, health, and supply chain businesses. Managing analysts while shaping data strategy, KPIs, and self-serve analytics.
AML Business Data Analyst
AML data analyst developing and tuning banking financial crime models for Matrix, a global technology services company. Applying Python, SQL, and machine learning to improve detection systems.
Data & Analytics Manager
Gerente de Dados e Analytics liderando BI, DataOps e equipes globais no maior ecossistema imobiliário da América Latina. Garantia de dados confiáveis e soluções analíticas escaláveis.
Industrial Engineer – Equipment Diagnostics, Sensor Data Analysis
Industrial equipment experts reviewing sensor data and automated diagnostics for Terac, which recruits vetted human experts for AI research. Providing technical feedback during paid remote interviews.
Marketing & Growth Data Analyst
Marketing & Growth Data Analyst optimizing paid marketing, customer funnels, and product growth analytics. Supporting FinTech investment platforms with data-driven budget and product decisions.
Senior Data Analyst, Tableau
Senior Data Analyst using Tableau, SQL, and Python to transform datasets into strategic insights. Supporting Factored’s AI, ML, and data teams serving U.S. companies with LATAM talent.
Deputy Team Lead, Data Analyst
Deputy Team Lead/Data Analyst supporting IBTCI’s independent monitoring of CARE’s Yemen WASH and food-security programs. Analyzing mixed-methods evidence, verifying expenditures, and producing donor-facing learning deliverables remotely.
Data Analyst – Customer Analytics
Data Analyst leading customer analytics, dashboards, and measurement frameworks for Granicus, a GovTech provider serving government agencies. Delivering insights that optimize digital communications and customer outcomes.
Aviation Data Analyst
Aviation Data Analyst supporting SAIC’s defense and national-security aviation programs. Analyzing aviation systems, radar implementations, operations, and business processes.
Senior Defined Benefit Data Analyst, Scientist
Senior data analyst managing Defined Benefits pension data, reporting, and quality for Conduent’s mission-critical client services. Supporting SQL-driven projects, pension administration, and process improvements.