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MetroPower · 1 week ago

Director, AI Strategy and Enablement

New Berlin, WI

Full-time

Onsite

Lead/Staff, Director/Executive

5+ years exp

MetroPower is seeking a Director of AI Strategy & Enablement to lead the development and execution of their enterprise AI strategy. This role will guide the integration of AI into core business systems and foster organizational readiness for AI adoption.

ManufacturingReal Estate

Growth Opportunities

Responsibilities

Lead the development and execution of our enterprise AI strategy and roadmap

Guide our evolution from experimentation to maturity in AI adoption

Integrate AI into core business systems, strengthen data capabilities, and cultivate organizational literacy and readiness

Model thought leadership, demonstrating how AI creates tangible business value while ensuring ethical, transparent, and responsible implementation across the enterprise

Partner with IT, Business Systems, and Data Engineering to ensure enterprise data platforms support AI accessibility, scalability, and data quality

Contribute to the development of a unified data architecture, including data lakes, integration pipelines, and governance frameworks

Ensure that foundational data capabilities—accuracy, accessibility, and integrity—enable advanced AI and analytics initiatives

Collaborate with data owners to define metadata, standards, and interoperability across platforms

Drive the adoption of AI-enabled tools and capabilities across core business systems (ERP, CRM, HRIS, and project management) and workflows

Lead pilot initiatives and proofs of concept that demonstrate the practical value of AI in real-world workflows

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

Build AI literacy and engagement across all levels of the organization through workshops, learning programs, and internal communities of practice

Work with HR and L&D to embed AI-related skills into leadership development, career frameworks, and technical training programs

Act as an internal evangelist and storyteller, translating complex AI concepts into accessible, business-relevant language

Support the creation of an 'AI Innovation Team' or Center of Excellence to accelerate adoption and scale high-impact solutions

Qualification

AI strategy developmentData platform developmentAI productizationAI/ML proofs of conceptData governance frameworksLarge language modelsMLOps frameworksChange leadershipAI literacy buildingExceptional communication

Required

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

Demonstrated success in implementing AI models and leading AI initiatives or data strategies within a complex, multi-division organization

Proven ability to translate business challenges into AI-enabled solutions with measurable outcomes

Experience overseeing or partnering on the development of enterprise data platforms, governance frameworks, or AI infrastructure

Background in developing AI/ML proofs of concept, vendor evaluation, and managing pilot-to-production transitions

Familiarity with Agentic AI Frameworks, large language models (LLMs), and intelligent workflow design

Exceptional communication and storytelling skills, with the ability to influence executive and operational audiences

Preferred

Master's degree in Business Administration, Computer Science, or Data Analytics

Experience in industrial, construction, or field-based environments where technology adoption drives operational improvement

Background in developing AI/ML proofs of concept, vendor evaluation, and managing pilot-to-production transitions

Experience with data pipelines for AI projects, MLOps frameworks, and AI model lifecycle management (including managing AI deployment and new enhancements)

Ability to simplify AI implementation across the enterprise

Understanding of data privacy, compliance, and ethical frameworks for AI deployment