Vice President, Data Architecture and Governance

Newrez LLC•Coppell, TX

18h•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 VP Data Architecture & Governance will serve as the visionary leader on data architecture, and governance across the mortgage origination, servicing, and secondary markets businesses. Reporting to the Chief Data Officer, this leader will define and lead the modernization of the company’s data ecosystem, transforming it into a secure, scalable, and trusted foundation for analytics, regulatory compliance, and AI-driven decisioning. This individual is someone who can architect and build scalable, governed, and insight-ready data ecosystems from the ground up. You’ll be the technical authority behind our data architecture, working directly with engineers, modelers, and business leaders to ensure our data is trusted, connected, and driving real business value. DESCRIPTION Essential Functions, Duties, and Responsibilities Strategic Leadership Develop and execute a multi-year enterprise data governance strategy aligned with business objectives across originations, servicing, capital markets, and risk functions. Partner with business and technology executives to establish a unified data vision enabling operational efficiency, customer personalization, and advanced analytics. Chair the Enterprise Data Governance Council and drive executive alignment on policies, standards, and data-related investments. Data Architecture Lead the design of an enterprise-wide data architecture standards and blueprint supporting master data, metadata management, reference data, and event-driven integration. Modernize legacy data systems by transitioning from on-premises monoliths to cloud-based data platforms (e.g., Azure, AWS, GCP) using lakehouse or data mesh/fabric principles. Enable real-time and batch data pipelines across origination, servicing, and collections systems using technologies like Kafka and Snowflake. Design and document end-to-end Data Lineage from source systems to business reporting to build integrated data flows across ingestion, processing, storage, and consumption layers Lead the design and evolution of enterprise data models Data Governance and Compliance Establish enterprise data governance policies to ensure compliance with PCI, PII, PHI, GLBA, and GSE data standards. Apply modern methodologies like Agile, Domain-Driven Design (DDD), and Data Mesh Partner with security and privacy teams to ensure compliant data architecture Build a data stewardship model assigning clear data ownership and accountability across business units. Oversee enterprise data cataloging, classification, and retention practices to support audit readiness and regulatory examinations. Collaborate with Risk, Legal, and Compliance teams to ensure adherence to regulatory requirements Innovation and Enablement Drive the adoption of AI-ready data architecture supporting predictive analytics, customer insights, and fraud/risk detection. Promote data literacy and self-service analytics across the enterprise through tools, training, and cultural change. Evaluate emerging technologies and vendor solutions to continuously evolve the data architecture landscape. Ability to effectively and accurately convey information to others. Performs related duties as assigned by management.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field; master’s degree preferred.
12+ years of progressive experience in data architecture, governance, and analytics, with at least 5 years in senior leadership roles in large enterprise.
Proven track record modernizing enterprise data platforms in regulated financial institutions.
Strong understanding of data modeling, metadata management, data quality, lineage, and master data management (MDM).
Experience with leading cloud data ecosystems (Azure, AWS, GCP) and on-prem hybrid architectures (SQL Server).
Exceptional leadership, communication, and stakeholder management skills across business and technology functions.
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.
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.
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 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.
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.

Nice To Haves

master’s degree preferred.

Responsibilities

Develop and execute a multi-year enterprise data governance strategy aligned with business objectives across originations, servicing, capital markets, and risk functions.
Partner with business and technology executives to establish a unified data vision enabling operational efficiency, customer personalization, and advanced analytics.
Chair the Enterprise Data Governance Council and drive executive alignment on policies, standards, and data-related investments.
Lead the design of an enterprise-wide data architecture standards and blueprint supporting master data, metadata management, reference data, and event-driven integration.
Modernize legacy data systems by transitioning from on-premises monoliths to cloud-based data platforms (e.g., Azure, AWS, GCP) using lakehouse or data mesh/fabric principles.
Enable real-time and batch data pipelines across origination, servicing, and collections systems using technologies like Kafka and Snowflake.
Design and document end-to-end Data Lineage from source systems to business reporting to build integrated data flows across ingestion, processing, storage, and consumption layers
Lead the design and evolution of enterprise data models
Establish enterprise data governance policies to ensure compliance with PCI, PII, PHI, GLBA, and GSE data standards.
Apply modern methodologies like Agile, Domain-Driven Design (DDD), and Data Mesh
Partner with security and privacy teams to ensure compliant data architecture
Build a data stewardship model assigning clear data ownership and accountability across business units.
Oversee enterprise data cataloging, classification, and retention practices to support audit readiness and regulatory examinations.
Collaborate with Risk, Legal, and Compliance teams to ensure adherence to regulatory requirements
Drive the adoption of AI-ready data architecture supporting predictive analytics, customer insights, and fraud/risk detection.
Promote data literacy and self-service analytics across the enterprise through tools, training, and cultural change.
Evaluate emerging technologies and vendor solutions to continuously evolve the data architecture landscape.
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