[Hiring] AI Solutions & Enablement Lead @LG Energy Solution Michigan, Inc.

Role Description

The AI Solutions & Enablement Analyst is responsible for helping establish and scale Vertech's enterprise AI function. As the first dedicated hire within the AI Solutions & Enablement organization, this role works closely with leadership to help define the team's direction, operating model, standards, and priorities while accelerating the responsible adoption of AI across the company.

The role serves as a foundational member of the AI & Data organization and contributes across multiple aspects of the AI operating model, including:

• Solution evaluation
• Solution development
• Enablement
• Governance support
• Training
• Value realization

Success in this role is measured not only by the value delivered through AI solutions but also by the organization's ability to establish scalable AI capabilities, operating practices, governance frameworks, and adoption models that support long-term growth.

Primary Responsibilities

• AI strategy execution: Support execution of Vertech's AI roadmap by identifying, prioritizing, and advancing AI opportunities that drive measurable business value.
• AI organization development: Partner with leadership to establish the foundations of Vertech's AI function, including standards, operating principles, team structures, success measures, governance models, and capability roadmaps.
• Operating model development: Help establish scalable processes, standards, intake models, prioritization frameworks, governance mechanisms, and measurement systems.
• AI technology evaluation: Assess emerging AI tools, platforms, copilots, agents, and automation capabilities.
• AI solution development: Design, prototype, and implement AI-enabled solutions that improve workflows, productivity, decision support, reporting, and operational effectiveness.
• AI enablement and adoption: Develop programs that improve organizational AI literacy, adoption, responsible use, and business value realization.
• Training and change management: Create training materials, workshops, office hours, communications, best practices, and user support resources.
• AI governance support: Partner with IT, Cybersecurity, Legal, and business stakeholders to support governance processes and responsible AI initiatives.
• Usage, value, and cost management: Monitor adoption metrics, licensing utilization, consumption patterns, costs, and business outcomes associated with enterprise AI tools.
• Cross-functional engagement: Work with stakeholders across various teams to accelerate AI adoption and drive alignment.
• Accountability: Own recommendations related to AI tool evaluations, use-case prioritization, adoption programs, training strategies, and AI implementation approaches.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Analytics, or a related field.
• 2 years of experience in AI, digital transformation, business technology, business analysis, consulting, product ownership, process improvement, or related disciplines.
• Strong understanding of generative AI technologies and their practical application within enterprise environments.
• Experience evaluating technology solutions and translating business needs into actionable implementation plans.
• Strong communication, facilitation, training, and stakeholder engagement skills.
• Ability to lead change and influence adoption across diverse stakeholder groups.
• Strong analytical and problem-solving capabilities.
• Demonstrated ability to operate effectively in ambiguous and rapidly evolving environments.

Requirements

• Experience with Microsoft Copilot, Azure AI, GitHub Copilot, Claude Enterprise, Power Platform, Snowflake Cortex, or similar AI platforms.
• Experience building AI agents, automations, copilots, or workflow solutions.
• Familiarity with AI governance, NIST AI RMF, ISO 42001, responsible AI principles, or related frameworks.
• Experience with technology adoption programs, organizational change management, or training initiatives.
• Experience within renewable energy, manufacturing, field service, or asset-intensive industries.
• Relevant Microsoft AI, Azure, Power Platform, or project management certifications.

Working Conditions/Office Environment/Travel

• Remote role with regular collaboration across distributed business, IT, Cybersecurity, HQ, and external partner teams.
• Requires participation in cross-functional meetings, workshops, training sessions, and stakeholder working sessions.
• Occasional travel may be required for company meetings, workshops, vendor engagements, or business enablement activities.