Head of Data Product Engineering

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.

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.

Qualifications and Education 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.

Skills, Abilities, and Knowledge

• 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.

Work Environment and Physical Requirements

• Working on-site at assigned office location.
• Regular and punctual attendance adhering to schedule established by leadership.
• Flexibility to work occasionally adjusted work schedules, overtime, and evening and/or weekend hours to meet deadlines or as business needs demand.
• Working in a cubicle hub, maintaining focus on phone calls in a noisy environment within earshot of multiple other conversations.
• Sedentary work in a stationary position at a cubicle for prolonged periods of time.
• Constant repetitive motions required for operating a computer, such as typing and managing phone calls.
• Constantly communicating effectively verbally in English, including accurately exchanging information with others following identification of correct procedures.

Additional Information:

While this description is intended to be an accurate reflection of the position’s requirements, it in no way implies/states that these are the only job responsibilities. Management reserves the right to modify, add or remove duties and request other duties, as necessary.

All employees are required to have smart phones that meet Company security standards with the ability to install apps such as Okta Verify and Microsoft Authenticator. Employment will be contingent on this requirement.

Company Benefits:

Newrez is a great place to work but we are only as strong as our greatest asset, our employees, so we believe in rewarding them!

• 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

Equal Employment Opportunity 
We're proud to be an equal opportunity employer- and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.

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