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About the Role
Siemens Advanta helps industrial businesses translate AI and emerging technologies into measurable business impact. Our AI & New Technologies team connects strategy, industrial AI, Physical AI, generative AI, automation, data platforms, IT/OT integration, analytics, and digital workflows with executable solutions. The 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.
Responsibilities
- Help industrial clients move AI opportunities from strategic ideas to operational impact.
- Identify where Physical AI, Industrial AI, robotics, process automation, analytics, and digital workflows can solve business and operational challenges.
- Shape use cases, assess process and data readiness, develop business cases and roadmaps, and support pilots and implementation planning.
- 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.
Requirements
- 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 knowledge of AI and industrial technology concepts, including Physical AI, Industrial AI, generative AI, machine learning, retrieval-augmented generation, agentic workflows, robotics, automation, analytics, industrial data platforms, enterprise architecture, digital workflows, IT/OT integration, cybersecurity considerations, or platform-enabled operating models.
- Ability to connect AI opportunities to industrial operations, including production environments, service operations, supply chains, asset-intensive processes, quality, maintenance, or field execution.
- Ability to work hand in hand with Siemens SMEs and implementation teams to translate advisory recommendations into solution design, deployment planning, and implementation support.
- Hands-on experience using analytical, AI, low-code, no-code, or comparable tools such as Excel, Power BI, Tableau, SQL, Python, approved generative AI platforms, or “vibe coding” tools to analyze data, prototype workflows, test concepts, and improve deliverable development.
- Strong analytical, conceptual, and creative problem-solving skills, with the ability to assess process maturity, data availability, system constraints, integration complexity, adoption barriers, risks, and measurable business value.
- Strong record collaborating across business, technology, data, operations, engineering, IT/OT, cybersecurity, Tech Services, and implementation teams while communicating clearly with senior executives and building trusted client relationships.
- Willingness and ability to travel up to 50% to domestic and international client locations, depending on project needs, with hybrid delivery expected to remain common.
- Authorized to work in the United States without the need for company sponsorship now or in the future.
- MBA or Master’s degree in a relevant discipline, such as business, analytics, engineering, computer science, finance, operations, or technology management (Preferred).
- Experience serving clients or working within Consumer Packaged Goods, Aerospace & Defense, Life Sciences, manufacturing, industrial technology, software, utilities, or comparable complex environments (Preferred).
- Experience shaping AI-enabled solutions at the intersection of physical operations, automation, robotics, industrial data, and business transformation (Preferred).
- Self-starter mindset with the ability to identify client needs, structure opportunities, support proposals or statements of work, and convert advisory discussions into delivery-ready projects (Preferred).
- Comfort carrying out consulting projects that involve Siemens technology, including Siemens industrial software, automation, digital enterprise, Xcelerator ecosystem, or related Siemens technology stack components (Preferred).
- Knowledge of how Physical AI, Industrial AI, robotics, process automation, analytics, digitalization, data platforms, and workflow technologies create measurable value across manufacturing, supply chain, product development, commercial, service, or asset-intensive environments (Preferred).
- Experience developing or scaling AI-enabled workflows, automation concepts, digital tools, industrial data platforms, robotics-adjacent solutions, or quality-control methods while following enterprise data-security and responsible-AI requirements (Preferred).
- Familiarity with Siemens industrial software, automation, digital enterprise, Xcelerator ecosystem, platform architecture, or related technology portfolios (Preferred).
- Experience delivering consulting projects in close partnership with technical implementation teams (Preferred).
Skills
- AI
- New Technologies
- Management Consulting
- Analytics
- Industrial Technology
- Physical AI
- Industrial AI
- Platform Strategy
- IT/OT Environments
- Generative AI
- Machine Learning
- Retrieval-Augmented Generation
- Agentic Workflows
- Robotics
- Automation
- Industrial Data Platforms
- Enterprise Architecture
- Digital Workflows
- IT/OT Integration
- Cybersecurity
- Excel
- Power BI
- Tableau
- SQL
- Python
- Generative AI Platforms
- Low-code tools
- No-code tools
Location
- Atlanta, Texas, United States of America
- Houston, Texas, United States of America
- New York City, New York, United States of America
Work Type
- Hybrid (Remote/Office)
- Full-time
- Permanent
Experience Level
- Early Professional
- 2-3+ years
Education Level
- Bachelor's degree
- MBA or Master’s degree (Preferred)
Salary/Compensations
- $120,000 annually
- Annual incentive target is 10% of the base salary
Benefits
- Variety of health and wellness benefits
About the Company
- Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare.
- We create technology with purpose adding real value for customers.
- We are a global technology company focused on industry, infrastructure, transport, and healthcare.
- From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.
Equal Opportunity
- Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare.
- We create technology with purpose adding real value for customers.
- We value your unique identity and perspective.
- We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences.
- We welcome you to bring your authentic self and transform the everyday with us.
- Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace.
- All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
- Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
- If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for accommodation form.
- If’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367.
- Siemens follows Pay Transparency laws.
- Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.