Head of Data Product Engineering

Newrez•Coppell, TX

7d•Onsite

About The Position

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. POSITION SUMMARY 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. DESCRIPTION Essential Functions, Duties, and Responsibilities 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.

Requirements

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 stacks (Databricks, Snowflake, Kafka, Airflow, dbt, etc.), cloud platforms (Azure, AWS, GCP), and API-based microservices architectures.
Exceptional communication skills, with a history of influencing C-suite and board-level decisions through data-driven storytelling.
Strong interpersonal skills with the ability to develop and maintain effective and professional relationships across the organization and with customers.
Strong influencing and negotiation skills; consultative and collaborative work style.
High learning agility with the ability to learn and integrate business variables and learn new systems and platforms.
Strong analytical skills & problem-solving abilities; solid decision-making abilities coupled with sound judgment.
Effective at managing multiple priorities under tight deadlines in a fast-paced, dynamic environment.
Strong project management and time management capability.
Self-directed and comfortable working with ambiguity and uncertainty.
High degree of professional maturity, integrity, ability to maintain confidential data and information.
High degree of business acumen; strong technical aptitude.

Responsibilities

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.

Benefits

Medical, dental, and vision insurance
Health Savings Account with employer contribution
401(k) Retirement plan with employer match
Paid Maternity Leave/Parental Bonding Leave
Pet insurance
Adoption Assistance
Tuition reimbursement
Employee Loan Program
The Newrez Employee Emergency and Disaster Fund is a new program to support our team members
Newrez NOW: Our Corporate Social Responsibility program, Newrez NOW, empowers employees to become leaders in their communities through a robust program that includes volunteering, philanthropy, nonprofit grants, and more
1 Volunteer Time Off (VTO) day, company-paid volunteer day where all eligible employees may participate in a volunteer event with a nonprofit of their choice
Employee Matching Gifts Program: We will match monetary employee donations to eligible non-profit organizations, dollar-for-dollar, up to $1,000 per employee
Newrez Grants Program: Newrez hosts a giving portal where we provide employees an abundance of resources to search for an opportunity to donate their time or monetary contributions