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Factory worker • houston tx
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Manufacturing Operations AI Factory Leader
Eaton PlcHouston, TX, US- Promoted
Maintenance Worker
Estes ExpressHouston, TX, United StatesMaintenance Worker
Alsco IncHouston, TX, US- Promoted
Maintenance Worker
AlscoHouston, TX, United StatesRetail Keyholder - PT - Houston Factory Store (Houston, TX)
Zwilling JA Henckels LLCHouston, TX, US- New!
Warehouse Worker
Genuine Parts CompanyHOUSTON, Texas, United States- Promoted
Warehouse Worker
TradeJobsWorkForce77081 Houston, TX, USEquipment Worker
Perfection StaffingHouston, TX, USRegion Factory Director
OracleHouston, TX, United StatesFactory Senior Leader
HITACHI ENERGY USA INCHouston, Texas, United States- Promoted
HPE AI Factory Solutions Sr. Marketing Manager
Hewlett Packard EnterpriseHouston, TX, US- Promoted
Warehouse Worker
TradeJobsWorkforce77249 Houston, TX, US- Promoted
Postal Worker
Postal Jobs NowHouston, TX, United States- Promoted
Laundry Worker
Buckner InternationalHouston, TX, United States- Promoted
Maintenance Worker
Sam Houston Race ParkHouston, TX, United States- Promoted
Laundry Worker
Buckner Retirement ServicesHouston, TX, US- Promoted
Production Worker
Coca ColaGalena Park, TX, USAUTILITIES WORKER
MEMCO StaffingHouston, TX, United StatesBusiness Development Manager Factory Automation
Phoenix ContactHouston, TX, USThe average salary range is between $ 28,210 and $ 35,165 year , with the average salary hovering around $ 29,120 year .
- private banker (from $ 79,000 to $ 437,500 year)
- emergency medicine physician (from $ 52,000 to $ 429,468 year)
- general surgeon (from $ 75,000 to $ 425,000 year)
- thoracic surgeon (from $ 50,000 to $ 417,243 year)
- medical recruiter (from $ 73,840 to $ 400,000 year)
- surgeon (from $ 44,850 to $ 400,000 year)
- diagnostic radiologist (from $ 200,000 to $ 397,500 year)
- chief medical officer (from $ 363,750 to $ 390,000 year)
- general surgery (from $ 83,655 to $ 355,000 year)
- orthopedic surgeon (from $ 81,000 to $ 342,998 year)
- Minneapolis, MN (from $ 42,900 to $ 97,500 year)
- Garden Grove, CA (from $ 28,275 to $ 91,520 year)
- Fremont, CA (from $ 38,630 to $ 67,568 year)
- Columbus, OH (from $ 27,300 to $ 58,448 year)
- Washington, DC (from $ 33,150 to $ 52,650 year)
- Seattle, WA (from $ 40,950 to $ 52,650 year)
- Buffalo, NY (from $ 35,100 to $ 52,000 year)
- Austin, TX (from $ 29,250 to $ 51,870 year)
- Portland, OR (from $ 31,200 to $ 51,675 year)
- Riverside, CA (from $ 35,100 to $ 50,113 year)
The average salary range is between $ 29,250 and $ 40,950 year , with the average salary hovering around $ 33,150 year .
Popular searches
Manufacturing Operations AI Factory Leader
Eaton PlcHouston, TX, US- Full-time
Manufacturing Operations Ai Factory Leader
Eaton's global IT team is seeking a Manufacturing Operations AI Factory Leader. This position can be based at any of our US IT Hubs including Beachwood, OH, Moon Township, PA, Raleigh, NC, Menomonee Falls, WI, Galesburg, MI, or Houston, TX. 25% travel is expected, but this will fluctuate higher in time. Candidates must be within 50 miles of these locations as relocation assistance is not available.
As a high-visibility member of the Operating for Growth AI Factory, AI & Innovation value chain, the Manufacturing Operations AI Leader will champion Eaton's strategic AI initiatives in Manufacturing Operations, with a focus on Physical AI, Simulation, Cobots, and Automation. This leader identifies key AI opportunities, defines business impact, secures executive investment, and oversees end-to-end execution and value realization. Building trusted relationships with executive leaders across the electrical and industrial sectors, this role acts as a strategic partner, translating business goals into tailored AI and automation solutions.
Accountable for multiple, high-profile strategic initiatives with regular executive interaction, the leader collaborates closely across IT teams and serves as a key member of the AI Council's Innovation workstreamproviding frequent updates and participating in investment reviews. The role requires driving culture change, navigating ambiguity, and leading the adoption of cutting-edge technologies and business process transformation to deliver substantial value and transformation for Eaton.
Responsibilities :
- Develop, execute, and take ownership of key strategic AI and business process transformation initiatives.
- Work collaboratively and build strong relationships with Eaton businesses, functions, and IT Value Chains to speed up adoption and maximize the value of AI and business process transformation.
- Use design thinking methods and lead sessions with various business units and senior leaders to uncover challenges and needs, and develop innovative solutions to address them.
- Foster a culture of innovation, experimentation, and employee engagement to drive learning and achieve business outcomes across the organization.
- Communicate effectively with stakeholders at all levelsfrom the shop floor to senior executivesmaking technical concepts easy to understand for all employees and championing the benefits of new technologies.
- Translate business or functional strategies into actionable plans, guide their execution, and take accountability for delivering results that impact targeted functions and Eaton as a whole.
Qualifications :
Basic (required) qualifications :
Preferred :
Skills :
Ability to quickly learn new technologies and paradigms such as Physical AI, Simulation, Automation, Cobots, AI / ML, Generative AI, Agentic AI, Digital Twins, Vision AI, and adapt to emerging trends.
Skilled in analyzing data across domains to uncover trends and inform strategic decisions.
Capable of defining and delivering minimum viable products, with a willingness to pivot or discontinue projects when necessary; embraces the opportunity to fail and learn from experimentation.
Effective at collaborating with diverse cultures, functions, and regions, and adept at engaging both technical and non-technical audiences.
Demonstrates strong curiosity, creativity, and the ability to engage with all organizational levels, including senior executives.
Proficient in agile methodologies, including Scrum and / or Kanban, with hands-on experience in delivery teams.
Working knowledge of DevSecOps and modern technology architecture principles, including APIs, microservices, and cloud services.
Extensive expertise across multiple business functions such as Finance, Supply Chain Management, Engineering, Manufacturing Operations, Sales, and Marketing.
Experienced in taking new and emerging technologies from proof of concept through to full production deployment.
Demonstrated success with artificial intelligence initiatives, including machine learning and generative AI.
Proficient in English, both verbal and written; additional language skills are a plus.
Exceptional communication skills, with the ability to convey complex information to technical and non-technical audiences, including executives; develop effective communication strategies and persuade diverse stakeholders, reconciling different perspectives to resolve conflicts.