AI Enablement Lead

CSafe Global•Monroe, OH

About The Position

CSafe is looking for an AI Enablement Lead with experience as a hands-on builder, translator, and change agent who thrives at the intersection of technology and real-world business operations. You will embed directly within our business teams: Finance, Operations, Sales, Quality, Supply Chain, etc. and deliver measurable impact quickly. You’ll identify improvements needed in day-to-day work, design practical AI-driven solutions, and bring them to life. About Us: CSafe offers the most comprehensive suite of thermal shipping solutions for pharmaceutical cold chain shipping needs around the world to ensure patients receive the medicines and treatments they need. In addition to key acquisitions, CSafe has operations in more than 70 locations worldwide to ensure product availability and continue to fulfil our founders’ mission to provide patients around the world with access to viable, life-enhancing pharmaceuticals. With a “client-first” focus, deep industry expertise and commitment to innovation, CSafe continues to deliver industry-leading products provides an end-to-end portfolio including active and passive bulk air cargo, parcel, cell and gene and specialty last-mile use cases. Our team operates with curiosity, humility, accountability, and entrepreneurial spirit to deliver on our vision and mission.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Business Technology, or a related field—or equivalent hands-on experience
3+ years in a technical or cross-functional role that required translating technology capabilities into business outcomes (e.g., solutions engineering, technical consulting, product management, IT business partnership, data analysis, or similar)
Demonstrated experience applying AI or automation to real-world tasks with evidence of measurable impact
Experience working across teams or in an embedded model where you partnered with groups outside your direct reporting line
Strong applied knowledge of generative AI tools and platforms (e.g., Claude, ChatGPT, Copilot, open-source LLMs) and practical experience applying them in business workflows
Comfortable with rapid prototyping and experimentation. Able to stitch together AI tools, APIs, and data sources to quickly demonstrate value without over engineering
Working knowledge of data sourcing, transformation, and integration patterns. Should be comfortable navigating databases, APIs, flat files, and SaaS platforms to feed AI-driven workflows.
Exceptional listening skills and business acumen: able to sit with a team, understand their pain points deeply, and translate ambiguous problems into concrete, scoped solutions
Proven ability to coach and enable non-technical users; gets energy from watching others succeed with new capabilities
Strong facilitation and presentation skills, comfortable running demos, leading workshops, and creating energy around new ways of working
Self-directed with a high tolerance for context switching; thrives on variety and the challenge of a new team and domain every month
Familiarity with change management principles; understands that technology adoption is a people problem as much as a technical one

Nice To Haves

Experience with Microsoft 365 / Azure ecosystem is a plus
Domain experience in supply chain, logistics, pharmaceutical, or manufacturing environments is a plus

Responsibilities

Embed within business teams for 4–6 week sprints, rapidly diagnosing workflows and uncovering high-impact opportunities for AI and automation
Translate real business needs into working solutions using AI tools, APIs, and existing data sources—prioritizing speed and value over perfection
Deliver solutions through to production launch, owning outcomes end-to-end
Partner with an AI Champion in each team. Coaching, co-creating, and transferring ownership so progress continues after your engagement
Design and lead a biweekly AI Demo Series
Evangelize AI through live demos, success stories, and visible wins
Turn skepticism into adoption by showing—not telling—what’s possible
Define and maintain an AI adoption scorecard, tracking usage, engagement, and business impact
Evaluate and recommend AI tools aligned with CSafe’s security, data, and technology environment
Partner with Software Engineering to ensure solutions scale within enterprise architecture and governance standards