Key Responsibilities:
Strategy & Vision
- Define and drive the enterprise AI strategy, aligned with our mission to empower people and deliver trusted title insurance solutions.
- Identify and prioritize AI opportunities in underwriting, title production, claims, fraud detection, compliance, and customer engagement.
- Promote a responsible AI culture, ensuring fairness, transparency, and compliance with industry regulations.
- Translate technical capabilities into measurable business outcomes that strengthen the financial performance, competitive positioning, and agent/customer experience.
Business Innovation & Transformation
- Champion AI as a driver of business transformation, embedding tools and capabilities that simplify processes, reduce costs, and expand the market impact.
- Introduce scalable AI models (NLP, predictive analytics, generative AI) that integrate seamlessly into systems, platforms, and customer touchpoints.
- Partner across business units to embed AI into daily operations — from automating document review to enabling predictive insights that support our agents and customers.
- Oversee deployment of NLP, generative AI, and automation tools to increase efficiency and improve the accuracy.
Governance & Risk Management
- Develop and manage AI governance frameworks to meet the highest standards of security, data privacy, and compliance with state and federal guidelines.
- Monitor AI model performance, ensuring ongoing accuracy, reliability, and risk management.
Leadership & Collaboration
- Serve as executive AI champion, educating internal teams, executives, and partners on AI’s potential.
- Collaborate with external partners, vendors, and industry groups to keep at the forefront of title industry innovation.
- Foster a people-first culture where AI is viewed as a tool for empowerment, not replacement—creating confidence and engagement across teams.
Qualifications
- MBA or advanced degree in Business, Strategy, or related field with strong technical foundation (Computer Science, Data Science, or AI/ML experience preferred).
Experience:
- 10+ years in senior leadership roles driving enterprise transformation, innovation, or strategy in regulated industries (insurance, financial services, real estate preferred).
- Proven ability to bridge business strategy with advanced technology adoption, delivering tangible business outcomes.
- Demonstrated experience leading AI, data analytics, or digital transformation initiatives at scale.
Skills:
- Exceptional business acumen with the ability to align AI strategy to growth, profitability, and customer success.
- Deep understanding of enterprise data platforms, cloud AI services, and applied AI tools.
- Strong communicator and change agent, able to influence stakeholders across the enterprise.
- Collaborative, people-first leader who builds trust and inspires innovation
Location: Remote