Director Data Product Management

Who We Are

At Newrez, we bring big thinkers and caring doers together to make home happen. We’re a team built on heart and hustle, united by a commitment to show up for our customers, our communities, and each other. We believe that when our people thrive, homeowners thrive - and that’s why we invest in your growth, wellbeing, and ability to make an impact.

Every day, we work to exceed the expectations of our residential mortgage borrowers and business partners through superior service, simple processes, and clear communication. We do this by empowering our employees, encouraging innovative solutions and recognizing great performance.

The Director Data Product Management will lead the execution of the enterprise-wide vision, strategy, and execution for the next-generation data platform. This role will unify data capabilities, drive architecture modernization, and enable scalable, intelligent systems that accelerate business growth. You will partner closely with product engineering, platform architecture team, commercial, and operations teams to deliver a high-performing platform foundation.

• Define and own the enterprise architecture strategy for the modern data products and platform, including cloud data services, integration patterns, governance, and scalability.
• Lead the design of unified data capabilities that power analytics, ML/AI, real-time systems, and operational use cases.
• Drive platform modernization initiatives across markets and business units.
• Partner with business and product leadership to translate business needs into technical capabilities and platform roadmaps.
• Establish architectural standards, patterns, and best practices across data, integration, and event-driven systems.
• Build and mentor a high-performing organization of product owners and engineers.
• Ensure platform reliability, security, performance, and compliance.
• Champion a data-first culture and cross-functional alignment across technology, product, operations, and commercial teams.
• Ability to effectively and accurately convey information to others.
• Performs related duties as assigned by management.

• Bachelor’s degree in engineering or a business administration degree preferred.
• 8+ years’ experience in data architecture, cloud engineering, and product leadership roles.
• Deep expertise in cloud-native data platforms (AWS/Azure/GCP), event-driven architectures, API-led integration, and modern data stacks.
• Proven experience building enterprise-scale platforms supporting analytics, AI/ML, and operational workloads.
• Strong leadership experience managing multi-disciplinary teams.
• Excellent communicator with ability to translate complex technical concepts for business audiences.
• Background working across multiple markets in fintech experience preferred.

• Strong verbal communication skills; strong writing and composition abilities.
• 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.
• 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.

• Working on-site at assigned office location.
• Regular and punctual attendance adhering to schedule established by leadership.
• Flexibility to work occasional 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…