Director, AI Strategy and Enablement

Description

• Contribute to the development of a unified data architecture, including data lakes, integration pipelines, and governance frameworks.
• Drive the adoption of AI-enabled tools and capabilities across core business systems (ERP, CRM, HRIS, and project management) and workflows.
• Collaborate with data owners to define metadata, standards, and interoperability across platforms.
• Ensure that foundational data capabilities—accuracy, accessibility, and integrity—enable advanced AI and analytics initiatives.
• Partner with IT, Business Systems, and Data Engineering to ensure enterprise data platforms support AI accessibility, scalability, and data quality.
• Partner with vendors, product managers, and engineering teams to embed AI capabilities into existing software and develop new intelligent workflows.
• Evaluate and recommend emerging AI platforms, generative tools, and automation technologies that align with business needs.
• Lead pilot initiatives and proofs of concept that demonstrate the practical value of AI in real-world workflows.
• Build AI literacy and engagement across all levels of the organization through workshops, learning programs, and internal communities of practice.
• Act as an internal evangelist and storyteller, translating complex AI concepts into accessible, business-relevant language.
• Work with HR and L&D to embed AI-related skills into leadership development, career frameworks, and technical training programs.
• Support the creation of an “AI Innovation Team” or Center of Excellence to accelerate adoption and scale high-impact solutions.

Requirements

• Background in developing AI/ML proofs of concept, vendor evaluation, and managing pilot-to-production transitions.
• Experience overseeing or partnering on the development of enterprise data platforms, governance frameworks, or AI infrastructure.
• Proven ability to translate business challenges into AI-enabled solutions with measurable outcomes.
• Experience in industrial, construction, or field-based environments where technology adoption drives operational improvement.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field.
• 5+ years of progressive experience in technology, data, or digital transformation roles, with at least 2 years leading AI or advanced analytics initiatives.
• Familiarity with Agentic AI Frameworks, large language models (LLMs), and intelligent workflow design.
• Ability to simplify AI implementation across the enterprise
• Understanding of data privacy, compliance, and ethical frameworks for AI deployment.
• Demonstrated success in implementing AI models and leading AI initiatives or data strategies within a complex, multi-division organization.
• Exceptional communication and storytelling skills, with the ability to influence executive and operational audiences.
• Master’s degree in Business Administration, Computer Science, or Data Analytics.
• Experience with data pipelines for AI projects, MLOps frameworks, and AI model lifecycle management (including managing AI deployment and new enhancements)

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance