At GAF, we cover more than buildings. We cover each other. No matter what role, tenure, or track, under this roof you are empowered to be there for your teammates, your customers, and especially your community. Under this roof, we don't back down from hard work- we support one another in pursuit of something bigger. We define the future while leading the present. And under this roof, we own our opportunities. Becoming the market leader only happens when everyone feels they have the opportunity, and the support, to thrive. We are GAF. And under this roof, we protect what matters most.
Job Summary
The Director of AI and Intelligent Automation is a critical leadership role responsible for architecting and executing the enterprise-wide AI journey. Reporting directly to the VP of Data and AI, this individual will own the AI execution strategy, business alignment, and portfolio prioritization and delivery approach for the entire organization in partnership with different departments. The primary objective or the role is to transform the company to use AI technology to be more effective and efficient in delivering the business strategies - from individual productivity aids to robust, automated enterprise solutions that drive systemic efficiency and measurable financial returns.
Essential Duties
Vision and Execution Strategy
Define and own the execution strategy for the enterprise AI roadmap, ensuring alignment with the overarching vision to position AI as a "Technology Multiplier" for people and processes.
Facilitate alignments and deliverables on AI automation across all business functions
Manage the full innovation lifecycle: from initial "Culture Core" engagement to scaled "Enterprise Deployment" of custom Agentic workflows.
Solution Design & Engineering Oversight
Oversee the development and deployment of Generative & Agentic AI solutions, including custom RAG (Retrieval-Augmented Generation) repositories and autonomous multi-agent workflows.
Guide the technical team in building robust Computational AI models, such as simulations for R&D, supply chain, and manufacturing optimizations.
Establish reusable technical patterns and platform controls to ensure scalable and reliable AI operations.
AI Governance & Risk Management
Partner with Cyber Security, Legal, and Procurement to establish and enforce robust governance frameworks for responsible AI adoption.
Lead the evaluation of third-party AI solutions through comprehensive questionnaires to ensure compliance with enterprise security and data privacy standards.
Define success metrics and KPIs for AI implementations, monitoring performance, user adoption, and ROI.
Review AI use cases for viability and financial returns.
Enablement & Change Management
Co-Launch and co-lead the Data and AI Academy to provide role-based, tiered education on AI practices and tools for the entire workforce.
Democratize innovation by managing the "Idea Collection Engine," systematically capturing and evaluating high-ROI pain points directly from employees.
Act as the critical bridge between technical engineering teams and non-technical business stakeholders.
Qualifications Required
Bachelor's Degree is required
10 + years relevant experience
Technical Expertise
Advanced AI Literacy: Deep conceptual and practical understanding of LLMs, Retrieval-Augmented Generation (RAG), and agentic orchestration frameworks.
Programming & Frameworks: Proficiency and experience with orchestration tools such as LangChain, LlamaIndex, or AutoGen.
Architectural Knowledge: Familiarity with vector search and storage solutions (e.g., Vertex AI Search) and API integration strategies.
Leadership & Strategy Architectural Knowledge: Familiarity with vector search and storage solutions (e.g., Vertex AI Search) and API integration strategies.
Lead: Effectively lead a team of AI process engineers and builders including the ability to define and manage budgets and demand vs capacity. Influence thought leadership and work across all functions to drive and enable AI use cases.
Business Analysis: Exceptional ability to map complex business processes and identify viable candidates for AI integration.
Agile Methodology: Experience managing project backlogs, writing robust technical documentation, and leading cross-functional teams in a fast-paced environment.
Communication: Proven ability to translate highly technical concepts for executive audiences and non-technical business units.
General Knowledge, Skills and Abilities
The Director will lead the transition into 2026+ Plans, which include:
Base salary and/or rate of pay ranges listed are exclusive of fringe benefits and potential bonuses. Individual compensation offers will be determined based on a variety of factors, including but not limited to geographic location, relevant candidate experience and skill, education, and/or qualifications.
Base Salary Range: $176,000-$242,000
How We Protect What Matters Most:
GAF complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR Services at 833-HR-XPERT.
We believe our employees are our greatest resource. We offer competitive salary, benefits, 401k, and vacation packages for all full time permanent positions. We are proud to be an equal opportunity workplace. We are committed to equal employment opportunity on the basis of each candidate''s qualifications, experience, and merit, without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know. If applying for positions in the U.S., must be eligible to work in the U.S. without need for employer sponsored visa (work permit).
| Location | Parsippany, NJ |
| Salary | $176,000–$242,000 Per Year |
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