Newrez · 1 week ago
Head of Data Product Engineering
Newrez is a company focused on delivering superior service and innovative solutions in the residential mortgage sector. They are seeking a Senior Vice President of Data Product Engineering to lead the transformation of their data ecosystem into a modern, AI-powered platform that enhances lending decisions and operational excellence. The role involves architecting a data-as-a-product strategy and leading global teams to design next-generation data products.
FinanceFinancial Services
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
Qualification
Required
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
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
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
Company
Newrez
Newrez is your mortgage partner for all stages of your homeownership journey. We offer hundreds of mortgage products to match your needs.
H1B Sponsorship
Newrez has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (31)
2024 (12)
2023 (41)
2022 (3)
2021 (2)
2020 (6)
Funding
Current Stage
Late StageRecent News
2026-02-03
Company data provided by crunchbase