GAF

Director, AI and Intelligent Automation

GAF$176K — $242K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree required
  • 10+ years of relevant experience
  • Advanced AI literacy with LLMs and RAG
  • Proficiency with orchestration tools like LangChain
  • Technical architecture knowledge, including API integration
  • Experience in agile project management
  • Strong communication skills for technical concepts

Responsibilities

  • Define and own the enterprise AI execution strategy
  • Oversee development of Generative & Agentic AI solutions
  • Establish governance frameworks for responsible AI adoption
  • Lead the evaluation of third-party AI solutions
  • Co-lead the Data and AI Academy for workforce education
  • Manage the collection and evaluation of employee-driven AI ideas
  • Act as a liaison between technical teams and business stakeholders

Benefits

  • Comprehensive health insurance options for employees and families
  • Support for family-building journeys
  • Robust 401K plan with employer matching
  • Programs for work-life balance, including wellness offerings
  • Internal training programs and generous tuition reimbursement
  • Opportunities for employee connection through Resource Groups
Full Job Description
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
  • Future Roadmap Focus

The Director will lead the transition into 2026+ Plans, which include:

- Expanding the availability of AI agents across various domains for both interactive and programmatic users.
- Establishing native AI connections with core enterprise applications such as SAP and Salesforce
- Scaling AI-driven predictive insights and simulations from POC to fully active, high-impact business products.

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:
1. We offer a wide range of health insurance options that include medical, dental, and vision for you and your family. 2. Our Family-Building benefits support the many different journeys to fertility and parenthood. 3. Our robust 401K plan includes an employer match contribution with your pre-tax and/or Roth contributions. 4. Other exciting programs and perks are available to help employees achieve work-life balance, including (but not limited to) a wellness program, free financial coaching, a referral program, and product rebates when purchased for an employee's primary residence. 5. Professional growth and development are very important to us! We offer internal training programs and courses, as well as a generous tuition reimbursement program. 6. We're committed to fostering a culture that reflects our values to connect, empower, evolve, and inspire. We offer many opportunities for employees to connect with one another, including through our Employee Resource Groups who focus on education and allyship for all of our employees.

About GAF

GAF is a building materials manufacturing company that produces roofing materials, insulation, and other products for residential and commercial buildings. The company was founded in 1886 and is headquartered in Parsippany-Troy Hills, New Jersey. GAF has a long history of innovation and has developed many industry-leading products over the years. The company's products are known for their quality and durability, and are used by builders and homeowners across the country. GAF is committed to sustainability and has implemented many environmentally-friendly practices in its operations.
Learn more about GAF
Size
3,000 employees
Industry
Founded
1886

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