Head of Applied AI and Advanced Analytics

## 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 Applied AI & Advanced Analytics, will serve as the enterprise leader responsible for building and scaling Newrez’s AI and advanced analytics portfolio from the ground up. Reporting to the Chief Data Officer, this leader will define and execute a cohesive strategy to operationalize AI across origination, servicing, customer engagement, risk, and operations.

This leader will establish enterprise-wide AI frameworks, governance, and principles that ensureethical, explainable, and regulatory-compliant AI adoption while delivering measurable business value. The role combines visionary leadership, deep technical expertise, and strong business partnership to drive transformation at scale.
** DESCRIPTION
* *** Essential Functions, Duties, and Responsibilities
**** Strategic Leadership
*** Executive Strategy (with ROI Focus):
Partner directly with executive and business leaders to architect a long-term business strategy that leverages AI as a primary growth engine that aligns with business goals, drives efficiency across the loan lifecycle (underwriting, risk, customer service), and delivers measurable business value and demonstrable Return on Investment (ROI).
* Leadership & Business Strategy:
Foster a data-driven culture by building high-performance teams, managing change, and collaborating effectively with stakeholders and senior leadership to build business strategies and secure buy-in and investment for AI initiatives.
* Build the AI Center of Excellence (CoE) to enable scalable AI delivery, model reusability, and governance.
* AI Development & Integration:
Lead the design, development, and seamless integration of AI/ML solutions (credit decisioning, fraud detection, automation) into daily workflows to boost efficiency, accuracy, and scalability.
* Governance & Regulatory Leadership:
Serve as the strategic lead for AI ethics and data governance, ensuring all advanced analytics models meet rigorous regulatory standards and fair lending practices while maintaining technical alignment with CIO-led infrastructure.
* Transformational Leadership:
Foster a data-first culture by mentoring high-performance teams and acting as a key executive liaison, bridging the gap between complex technical capabilities and high-level business objectives to secure investment and enterprise-wide buy-in.
** Governance, Ethics & Compliance
*** Define and institutionalize AI governance frameworks, model-risk management processes, and responsible-AI principles to meet internal policy and regulatory standards (RESPA, TILA, FDCPA, GLBA, FCRA, etc.).
* Establish an enterprise data governance with clear data quality, lineage, and validation standards that ensure trustworthy and auditable AI outcomes.
* Partner with Legal, Compliance, Risk, and Audit functions to operationalize AI assurance and model transparency.
** Organizational Enablement
*** Design and lead a multidisciplinary team of data scientists, ML engineers, and applied AI specialists.
* Advanced enterprise AI literacy maturity by cultivating organization- wide literacy through structured learning and stakeholder engagement.
* Create performance frameworks and KPIs to measure the business impact of AI adoption.
** Innovation & Technology
*** Partnership with the CDO, CIO, and CPTO to establish the AI technology stack (cloud platforms, MLOps pipelines, data products, and APIs).
* Stay ahead of emerging trends in GenAI, LLMs, and cognitive automation to continuously evolve the portfolio.
* Establish strategic partnerships with academia, fintechs, and AI vendors to accelerate innovation.
* Ability to effectively and accurately convey information to others.
* Performs related duties as assigned by management.
** Qualifications and Education Requirements
*** 12+ years’ experience in data science, AI, or advanced analytics, with at…