Director, AI Strategy and Enablement

Overview

Lead AI strategy, integration, and enablement across the enterprise to drive safety, efficiency and decision‑making.

Key Responsibilities

• data platform
• ai literacy
• ai adoption
• data architecture
• vendor integration
• pilot programs

Tasks

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

Requirements

• 5+ years
• llms
• mlops
• agentic ai
• bachelor's
• communication

What You Bring

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

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About Metropower

-Evolved into a leading provider of electrical, mechanical, and utility services. -Specializes in the design, installation, and maintenance of power systems for large-scale industrial, commercial, and infrastructure projects. -Portfolio includes complex energy solutions for sectors such as energy, utilities, and transportation. -Serves both public and private clients, including government contractors and major corporations. -Executed high-profile projects, including large-scale power installations and infrastructure upgrades. -Leverages cutting-edge technology and expertise to ensure projects are completed on time, on budget, and with the highest standards.

Sector Specialisms