AI Transformation Program Manager
New
J
JobgetherIndustrial/IT
Based in the United StatesFull-TimeManager
Salary$150,000–$195,000
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Job Details
- Languages
- Fluent English communication skills; German language proficiency is an advantage.
- Experience
- 5+ years
- Required Skills
- PythonArtificial IntelligenceStakeholder managementLLM
Requirements
- Bachelor's degree in Information Technology, Computer Science, or a related discipline.
- 5+ years of experience in transformation, program management, or a comparable role involving end-to-end delivery responsibility.
- Demonstrated ability to take AI or technology use cases from initial concept through implementation and measurable business outcomes.
- Hands-on experience building and deploying AI solutions.
- Strong understanding of AI deployment and practical applications within business environments.
- Solid knowledge of modern development approaches, including Python or comparable programming technologies.
- Experience with AI and LLM-based solutions and tools such as Azure AI Foundry, Copilot Studio, Claude, or comparable platforms.
- Ability to translate complex business problems into scalable AI, automation, or data-driven solutions.
- Strong stakeholder management skills, with the ability to collaborate effectively across functions and regions.
- Structured, pragmatic, analytical, and results-oriented approach.
- Experience in manufacturing, intralogistics, or industrial automation is advantageous.
- Understanding of data structures or industrial technologies like PLCs is a plus.
- Fluent English communication skills; German language proficiency is an advantage.
Responsibilities
- Define and execute the AI transformation roadmap in alignment with the broader digitalization and AI strategy.
- Identify, structure, evaluate, and prioritize AI use cases based on expected business impact, feasibility, and scalability.
- Own AI initiatives end-to-end, from opportunity discovery and business-case development through implementation, deployment, adoption, and value realization.
- Translate business challenges and requirements into practical AI, automation, and data-driven solutions.
- Contribute directly to technical implementation, including automation, data pipelines, and AI applications.
- Train, educate, and empower employees to use AI tools responsibly and effectively.
- Define and monitor KPIs covering implementation progress, adoption, business impact, and ROI.
- Coordinate internal stakeholders and external technology or implementation partners.
- Prepare executive-level decision memos and business cases.
- Lead the rollout and organizational adoption of AI solutions while identifying opportunities for continuous improvement.
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