Head of Data Product Engineering

Overview

Exceed the expectations of our residential mortgage borrowers & business partners through superior service, simple processes, and effective communications. We deliver on this mission by empowering our employees by encouraging and recognizing superior performance and innovative solutions, by promoting teamwork and divisional cooperation.

The SVP Data Product Engineering will lead the transformation of Newrez’s data ecosystem into a modern, scalable, and AI-powered platform that enables faster, smarter lending decisions and operational excellence across origination, servicing, secondary marketing, and risk functions. This executive will architect and execute a data-as-a-product strategy that unifies fragmented systems, delivers trusted analytics at scale, and powers next-generation customer and portfolio insights.

The ideal candidate combines deep technical expertise in enterprise data engineering with product-centric leadership and a track record of driving measurable value in regulated financial environments.

You’ll lead global teams of engineers, product managers, and data scientists to design next-generation data products that strengthen origination, servicing, secondary marketing, and risk analytics. This role is ideal for a strategic builder who thrives at the intersection of architecture, innovation, and business transformation.

• Develop and operationalize a data-as-a-product portfolio strategy that underpins core mortgage operations—from loan origination through servicing—and enables real-time, AI-driven analytics.
• Architect a modern data platform ecosystem that integrates structured, unstructured, and streaming data across internal systems and third-party partners.
• Lead the design, build, and scaling of AI-infused data products supporting pricing optimization, borrower intelligence, fraud detection, and servicing efficiency.
• Direct cross-functional global teams of data engineers, product managers, and data scientists to deliver enterprise-grade data solutions on time and within budget.
• Partner with technology, risk, finance, and business line leaders to translate business imperatives into scalable data products that drive growth, compliance, and customer retention.
• Define and monitor key product performance indicators—data quality, latency, adoption, and ROI—and drive continuous improvement.
• Championing a culture of experimentation, agility, and accountability, fostering rapid prototyping and iterative innovation.
• Ensure full adherence to mortgage data privacy, model governance, and regulatory requirements, including HMDA, FCRA, and CFPB standards.
• Collaborate with enterprise security, architecture, and compliance teams to embed data governance and lineage across the entire ecosystem.
• Ability to effectively and accurately convey information to others.
• Performs related duties as assigned by management.

• Advanced degree in Computer Science, Engineering, Data Science, or related discipline.
• 15+ years of experience leading enterprise data, analytics, or platform modernization initiatives in large enterprises
• Proven success launching GenAI-enabled data products in hyperscaler marketplaces or enterprise production environments.
• Expertise integrating emerging technologies—generative AI, knowledge graphs, vector search—into traditional data ecosystems.
• Experience partnering with regulatory and risk teams to operationalize AI governance and ethical model frameworks.
• Proven ability to lead and scale distributed technical and product teams, balancing innovation with risk and compliance controls.

• Recognized leader with the ability to bridge business and technology, shaping strategic data roadmaps that accelerate growth and digital transformation
• Deep expertise in data engineering frameworks, ML/AI platforms, and enterprise SaaS architectures.
• Demonstrated success in designing and deploying data-driven platform architectures and AI-enabled analytics within large, regulated enterprises—preferably in banking, mortgage, or financial services.
• Hands-on experience with modern data…