Job Overview
Job TitleVP, Enterprise Data & AI
Job TypeFull Time
Offered Salary$300,000
LocationHybrid
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Job Description
About Better
Better is the first AI-native mortgage and home equity finance company, revolutionizing one of the largest financial markets in the world. We make home finance radically more transparent; using AI and proprietary technology to eliminate friction from the mortgage process through our industry-leading AI platform, Tinman®, and the first voice-based AI mortgage assistant, Betsy™. Our mission is simple: make homeownership cheaper, faster and more accessible by transforming how people buy and finance homes.The facts that speak for themselves:- We’ve funded over $110 billion in loans (more than any other fintech in the US!)
- Raised over $1.2 billion in equity capital to modernize the $15 trillion mortgage industry
- Better’s propriety AI platform makes us an award-winning lender: Fintech Breakthrough Award 2025: Best Lending Innovation; Yahoo! Finance (Jan 2025): Best Mortgage Lender for First-Time Homebuyers – Best for quick approval; Yahoo! Finance (2025): Best Online Mortgage Lender; Money Magazine (2025): Best for fast closing; Forbes (2023): Best Online Mortgage Lender
A Better Opportunity
We’re redefining how mortgages are originated by embedding AI directly into the underwriting and decisioning process - dramatically reducing time-to-decision, lowering costs, and increasing operational efficiency across the platform. Data and AI are central to how we scale this model, expand our partner ecosystem, and deliver faster, more transparent outcomes for customers.We’re seeking a VP, Enterprise Data & AI to lead this transformation. Reporting to the COO, 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 You’ll Own
Enterprise Data & AI Strategy
- Define and execute a company-wide data, analytics, and AI strategy aligned to growth, efficiency, and product innovation
- Translate business priorities into a clear data and AI roadmap with measurable outcomes
Business Impact & Transformation
- Partner with Finance, Operations, and Revenue leaders to drive KPI improvement through data and analytics
- Identify and deliver high-impact AI use cases (e.g., underwriting optimization, operational efficiency, customer lifecycle, pricing)
- Elevate data from reporting to decision-making and automation
Operating Model & Team
- Build and lead a centralized (or hybrid) data & analytics function, including data engineering, analytics, and data science
- Establish scalable operating models, delivery frameworks, and prioritization mechanisms
- Develop and mentor a high-performing, business-oriented data team
Data Platform & Technology
- Partner with the CIO/CTO to evolve the data platform, architecture, and tooling to support scale and AI readiness
- Ensure data is accessible, reliable, and usable across the organization
Data Governance, Risk & Compliance
- Establish governance frameworks to ensure data quality, lineage, and trust
- Partner with Legal, Risk, and Compliance to meet regulatory and data privacy requirements (critical in financial services)
- Ensure responsible and ethical use of data and AI
Stakeholder Leadership
- Serve as a strategic partner to executive leadership and, where needed, the board
- Communicate the value of data and AI through clear business outcomes and ROI
What You Bring
- 10–15+ years of experience across data, analytics, and/or AI, with significant time in financial services or fintech
- Experience operating in regulated environments (data governance, risk, compliance)
- Proven leadership experience building and scaling enterprise data & analytics functions
- Strong business acumen - experience partnering with COO, CFO, or revenue leaders
- Track record of delivering measurable business impact, not just building infrastructure
- Deep understanding of: Data architecture and platforms, Analytics and data science, AI/ML applications in business contexts
- Ability to communicate complex concepts to non-technical stakeholders and influence at the executive level
Company Benefits
We’re proud to support our employees and their families with a benefits package designed to care for their health, well-being, and everyday life. All full-time and benefit-eligible part-time employees can enjoy the following benefits:- Day One Coverage – Your benefits begin on your first day, so you’re supported from the start
- Nationwide Medical, Dental & Vision Coverage – Comprehensive plans that travel with you, wherever you are
- Mental Health Support When You Need It – 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!
- Health Savings Account (HSA) – Includes an employer contribution to help you plan for healthcare expenses
- Employer-Funded Dependent Care FSA – Support for childcare and/or dependent care costs
- Disability & Life Insurance – Provided at no additional cost to give you added peace of mind
- Flexible PTO – Time off when you need it, so you can recharge and focus on what matters most
- Extra Perks & Discounts – Including pet insurance, savings programs, and more to support life beyond work
Key skills/competency
- Enterprise Data Strategy
- AI/ML Implementation
- Data Governance
- Financial Services Analytics
- Team Leadership
- Business Transformation
- Data Platform Architecture
- Regulatory Compliance
- Stakeholder Management
- AI Use Case Identification
How to Get Hired at Better
- Tailor your resume: Highlight 10-15+ years in data, analytics, AI, and financial services experience. Emphasize leadership in regulated environments and proven business impact.
- Showcase your leadership: Detail experience building and scaling enterprise data functions and mentoring high-performing teams.
- Demonstrate business acumen: Provide examples of partnering with C-suite executives to drive KPI improvements and deliver measurable results.
- Quantify achievements: Use data to illustrate your success in identifying AI use cases and transforming reporting to decision-making.
- Network and connect: Research Better's mission and AI-driven approach to understand their unique challenges and opportunities.
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