AI & Technologies Consultant

Here at Siemens, we take pride in enabling sustainable progress through technology by combining the real and digital worlds. We believe businesses thrive when their people thrive, so we put our people first and create opportunities to grow, learn, and make a tangible impact. We are looking for people who are curious, collaborative, and ready to help shape a more resilient and sustainable future.

Does that sound like you? Then you could be a great addition to our team.

At Siemens Advanta, we help industrial businesses translate AI and emerging technologies into measurable business impact. Our AI & New Technologies team works alongside Operations Automation & Digitalization to connect strategy, industrial AI, Physical AI, generative AI, automation, data platforms, IT/OT integration, analytics, and digital workflows with executable solutions that improve real industrial operations.

Our North America consulting team helps clients turn AI, software, automation, data, and industrial technology into practical transformation programs grounded in business value, operational realities, and disciplined execution. You will join small, interdisciplinary teams with meaningful client exposure, clear ownership, and access to Siemens' deep industry, automation, software, and technology expertise.

We are looking for an AI & New Technologies Consultant to join Siemens Advanta North America. The ideal candidate combines structured consulting skills, a self-starter and seller-doer mindset, and practical technology fluency to help clients prioritize AI opportunities, shape scalable solutions, and move from advisory recommendations to implementation-ready outcomes. As we continue investing in in-person collaboration and a strong office culture, we are excited to connect with candidates based in or relocating to Atlanta, Houston, or New York
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You will help industrial clients move AI opportunities from strategic ideas to operational impact. As part of interdisciplinary teams, you will identify where Physical AI, Industrial AI, robotics, process automation, analytics, and digital workflows can solve real business and operational challenges. You will shape use cases, assess process and data readiness, develop business cases and roadmaps, support pilots and implementation planning, and translate technical concepts into clear messages for executives, operators, engineers, and implementation teams.

• Structure ambiguous business, operational, and technology challenges into clear workplans, hypotheses, analyses, decisions, and execution paths
• Identify and prioritize AI, Physical AI, Industrial AI, robotics, process automation, analytics, platform, and digital workflow use cases tied to measurable business and operational value
• Translate business and operational needs into use case definitions, technical requirements, platform considerations, MVP or pilot scopes, business cases, roadmaps, and implementation plans
• Assess process maturity, data readiness, system constraints, IT/OT integration needs, cybersecurity considerations, operating-model implications, and adoption barriers
• Support industrial data platform, automation, robotics, enterprise architecture, and IT/OT integration concepts that improve operational visibility and enable scalable AI-enabled solutions
• Build analyses, light prototypes, workflow mockups, implementation materials, and executive-ready deliverables using approved analytical, AI, low-code, no-code, and productivity tools
• Facilitate interviews, workshops, working sessions, demos, and executive readouts to align stakeholders on priorities, risks, tradeoffs, sequencing, and next steps
• Help move recommendations into implementation by coordinating with client teams, Siemens technical SMEs, and delivery partners

• Bachelor's degree in a relevant discipline, such as business, economics, engineering, computer science, analytics, finance, operations, or a related field
• 2-3+ years of high-performing experience in management consulting, AI or analytics-enabled transformation, industrial technology, Physical AI, Industrial AI, platform strategy, IT/OT environments, or a relevant start-up environment
• Experience translating ambiguous business, operational, technology, or data needs into prioritized AI/technology use cases, value cases, technical requirements, MVP definitions, roadmaps, and implementation plans
• Working…