Director, Applied AI

Toll Brothers, Inc.•Upper Dublin Township, PA

1d•Onsite

About The Position

Toll Brothers, America's leading luxury home builder, seeks a Director, Applied AI to join our team at our Corporate office in Fort Washington, Pennsylvania. The Director, Applied AI reports to the SVP, Technology & Innovation and is a senior leader on the Technology & Innovation team. This role leads the practical application of AI, automation, analytics, and adjacent technologies across Toll Brothers, translating business problems into production-ready capabilities that improve speed, accuracy, customer experience, and employee effectiveness. The team builds systems that automate routine work, surface better information at decision points, and make it easier for employees to act with confidence without replacing their judgment or expertise. This is a strategy, delivery, and people leadership role. The Director partners with leaders across Sales, Production, Purchasing, Marketing, Finance, Customer Experience, and IT to identify high-value use cases, set priorities, and scale solutions through day-to-day operating workflows. The role also establishes reusable platforms, standards, measurement practices, and feedback loops so successful pilots become durable enterprise capabilities rather than isolated tools.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related field
10+ years of experience in technology, data, automation, digital product, enterprise systems, or related disciplines
5+ years of experience leading teams responsible for delivering production technology capabilities in complex enterprise environments
Experience leading enterprise AI, automation, data, or digital product initiatives from concept through production with measurable business impact
Depth in modern AI capabilities, automation platforms, analytics tools, systems integration, and data-driven product practices applied to business problems
Strong record of leading cross-functional programs that require alignment across business leaders, technical teams, and external partners
Experience establishing governance, adoption, measurement, and risk management practices for AI, automation, or data-driven systems

Nice To Haves

Master’s degree, MBA, or other advanced degree in a relevant field
Experience in homebuilding, real estate, production operations, field operations, or another operationally complex industry
Familiarity with platforms such as Salesforce, Snowflake, Power BI, JD Edwards, Power Automate, Workfront, or Jira
Experience evaluating vendors, piloting new technologies, and scaling successful solutions in an enterprise setting
Experience with AI-enabled workflow design, decision-support systems, customer-facing digital tools, or operational analytics

Responsibilities

Set and drive the applied AI roadmap, including automation priorities, in alignment with business priorities and enterprise technology strategy
Lead the delivery of production AI systems, workflow automation, predictive models, and decision-support tools used across the business
Build reusable AI-enabled automation capabilities that teams can adopt across functions without rebuilding similar solutions independently
Partner with leaders across Sales, Production, Purchasing, Marketing, Finance, Customer Experience, and IT to identify, prioritize, and deliver high-value use cases
Establish feedback loops that capture employee input, model performance, adoption patterns, and business outcomes to improve solutions over time
Enable employees to automate routine work through training, tooling, standards, and hands-on support
Establish operating rhythms for portfolio prioritization, delivery governance, risk management, adoption, and performance measurement
Recruit, develop, and lead a multidisciplinary team of engineers, architects, automation specialists, and program leaders
Evaluate platforms, vendors, and emerging technologies, recommending where to build internally and where to adopt external solutions
Define standards for security, data privacy, responsible AI, integration quality, and production readiness across the team’s work
Communicate progress, risks, trade-offs, and recommendations clearly to executive stakeholders and cross-functional partners
All other duties as assigned