VP, Mortgage Analytics

Equifax • Saint Louis, MO

3d

About The Position

The VP, Mortgage Analytics is the analytics leader with end-to-end accountability for a major, strategic Equifax Workforce Solutions mortgage business. The role turns The Work Number income and employment verification data into insights, products, and growth for lenders and the WS Mortgage business. It partners closely with the Mortgage SVP/GM and leadership team on pricing, product, sales, and market strategy, applying knowledge of the mortgage lifecycle and the market factors that shape verification demand.

The position owns the WS Mortgage analytics roadmap and develops market and demand intelligence, forecasts, and analyses that support revenue growth, product decisions, sales enablement, account planning, pricing, customer lifetime value, churn reduction, and customer penetration and retention. It also works directly with mortgage lenders and servicers to quantify business value, create executive-ready narratives, productize data insights, and demonstrate solution impact through pilots and ROI studies.

The role establishes an AI-powered analytics operating model, using AI tools and workflows to improve team productivity and insight generation. In partnership with AI/ML and Data Platform leaders, it supports secure conversational analytics and governed, AI-ready mortgage data products. It also identifies potential AI and ML applications for lenders and ensures regulated-data analytics comply with FCRA, permissible-purpose, and fair-lending requirements. The VP hires, develops, and retains analytical talent.

Requirements

• Bachelor's degree.
• 10+ years of experience in analytics leadership, including management of analytical consultants, data analysts, data scientists, and/or data engineers.
• Deep mortgage or consumer lending expertise, including the origination and servicing lifecycle, lender economics, GSE and secondary-market dynamics, and the role of verification and credit data in mortgage decisions.
• Demonstrated success embedding analytics in a business line and driving measurable revenue, penetration, or retention outcomes.
• Client-facing experience turning data assets into commercial products or services that generated revenue.
• Hands-on experience applying AI, including GenAI, LLMs, agentic tools, or AI-assisted coding, to scale analytics and improve team productivity.
• Strong executive presence and ability to translate complex analysis into clear business recommendations for lender and internal C-suites.
• Strong technical foundation in SQL and Python, plus modern BI and cloud data tools.

Nice To Haves

• Master's or PhD in statistics, mathematics, economics, engineering, or another quantitative field, or equivalent practical experience.
• Experience working with FCRA-regulated or other sensitive consumer data.
• Experience building self-service or conversational analytics capabilities.
• Experience with GCP/BigQuery is preferred.

Responsibilities

• Define and run the WS Mortgage analytics roadmap in support of revenue, product, penetration, and retention goals.
• Develop forward-looking mortgage market and demand intelligence, including origination volumes, refinance and purchase cycles, lender share shifts, and segment dynamics; translate findings into forecasts and business actions.
• Deliver analytics for sales enablement, account planning, pricing, customer lifetime value, churn, and whitespace identification.
• Use industry trends, lender behavior, and internal usage data to inform the product roadmap, including support for GSE programs and lender automation.
• Partner directly with lenders and servicers to address business challenges such as loan conversion, closing costs, cycle time, verification hit rates, fraud, and early payment default risk.
• Create executive-ready narratives, presentations, and dashboards for lender executives, sales teams, and WS leadership.
• Develop reusable, scalable data products and services, including benchmarking, portfolio insights, and market intelligence.
• Design and run pilots, ROI studies, and lift analyses to demonstrate the measurable impact of WS solutions.
• Use agentic workflows, LLM-assisted analysis, and AI code-assist tools to automate routine reporting and increase analytics productivity.
• Partner with the AI/ML COE Leader to deploy secure, self-service conversational analytics on mortgage data.
• Partner with the Data Platform Leader to ensure mortgage data is modeled, governed, and exposed through the semantic layer for BI and AI use cases.
• Identify AI and ML opportunities for lenders, such as predictive demand signals, risk and fraud indicators, and sales next-best actions, and bring those ideas to Product and the AI/ML COE.
• Maintain structured alignment with Mortgage leadership, Product, Sales, Marketing, and Finance, and work with enterprise data and analytics partners.
• Partner with Legal, Compliance, and Privacy to ensure analytics and data products meet FCRA, permissible-purpose, and fair-lending requirements.
• Hire, develop, and retain analytical talent while setting standards for rigor, business acumen, and AI fluency.

Benefits

• Comprehensive compensation and healthcare packages.
• 401(k) matching.
• Paid time off.
• Organizational growth potential through an online learning platform with guided career tracks.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive