Role Description
Weβre seeking a VP, Enterprise Data & AI to lead the transformation of how mortgages are originated by embedding AI directly into the underwriting and decisioning process. This role will partner closely with Finance, Operations, Product, and Technology to define and execute our enterprise data strategy, build a high-performing team, and deliver measurable business impact.
What Youβll Own
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Enterprise Data & AI Strategy:
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Define and execute a company-wide data, analytics, and AI strategy aligned to growth, efficiency, and product innovation.
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Translate business priorities into a clear data and AI roadmap with measurable outcomes.
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Business Impact & Transformation:
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Partner with Finance, Operations, and Revenue leaders to drive KPI improvement through data and analytics.
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Identify and deliver high-impact AI use cases (e.g., underwriting optimization, operational efficiency, customer lifecycle, pricing).
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Elevate data from reporting to decision-making and automation.
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Operating Model & Team:
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Build and lead a centralized (or hybrid) data & analytics function, including data engineering, analytics, and data science.
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Establish scalable operating models, delivery frameworks, and prioritization mechanisms.
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Develop and mentor a high-performing, business-oriented data team.
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Data Platform & Technology:
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Partner with the CIO/CTO to evolve the data platform, architecture, and tooling to support scale and AI readiness.
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Ensure data is accessible, reliable, and usable across the organization.
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Data Governance, Risk & Compliance:
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Establish governance frameworks to ensure data quality, lineage, and trust.
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Partner with Legal, Risk, and Compliance to meet regulatory and data privacy requirements.
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Ensure responsible and ethical use of data and AI.
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Stakeholder Leadership:
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Serve as a strategic partner to executive leadership and, where needed, the board.
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Communicate the value of data and AI through clear business outcomes and ROI.
Qualifications
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10β15+ years of experience across data, analytics, and/or AI, with significant time in financial services or fintech.
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Experience operating in regulated environments (data governance, risk, compliance).
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Proven leadership experience building and scaling enterprise data & analytics functions.
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Strong business acumen - experience partnering with COO, CFO, or revenue leaders.
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Track record of delivering measurable business impact, not just building infrastructure.
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Deep understanding of data architecture and platforms, analytics and data science, AI/ML applications in business contexts.
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Ability to communicate complex concepts to non-technical stakeholders and influence at the executive level.
Benefits
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Day One Coverage β Your benefits begin on your first day, so youβre supported from the start.
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Nationwide Medical, Dental & Vision Coverage β Comprehensive plans that travel with you, wherever you are.
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Mental Health Support When You Need It β Immediate access to virtual therapy with licensed providers for you and your eligible dependents (ages 6+), with your first few visits covered at no cost!
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Health Savings Account (HSA) β Includes an employer contribution to help you plan for healthcare expenses.
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Employer-Funded Dependent Care FSA β Support for childcare and/or dependent care costs.
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Disability & Life Insurance β Provided at no additional cost to give you added peace of mind.
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Flexible PTO β Time off when you need it, so you can recharge and focus on what matters most.
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Extra Perks & Discounts β Including pet insurance, savings programs, and more to support life beyond work.