דרושים Manufacturing Program Leader ב-Ge Healthcare ב-ארהב

Key Responsibilities:

• Lead projects to design and develop automation systems to enhance manufacturing productivity, new product introduction and capacity.
• Own the controls architecture and software for PLC, Robotics, and Vision Systems.
• Lead Design Transfer of NPIs by collaborating with manufacturing, manufacturing engineering, and product engineering teams.
• Identify high Return on Investment opportunities, design and conduct feasibility studies, and develop business cases to deploy automation into production.
• Apply creative solutions and ideas to drive productivity and quality using LEAN methodology, novel fixturing, collaborative robots, AI, traditional automation techniques, and integration of PLCs, HMIs, and motion systems.
• Support Brilliant Factory initiatives by connecting physical processes with digital information.
• Create standard automation Equipment/User Requirement Specifications to drive component standardization, data standards, and safety risk assessments.
• Manage projects and lead project teams in a matrix organization.
• Leverage and manage outside suppliers to deliver automation solutions.
• Troubleshoot factory equipment controls, update/debug control software and support factory equipment as needed.

Required:

• Bachelor’s Degree in Electrical, Mechanical, Manufacturing Engineering, or related technical degree.
• 3+ years’ experience in factory automation, deploying various automation technologies from concept phase through final implementation into production.
• Demonstrated skills in PLC and HMI programming, trouble shooting and debug
• Experience in program or project management skills of internal/external integrators.
• Experience developing technical documents, including the ability to write/perform FMEA’s, Equipment Risk Assessments, ERS’s (Equipment Requirements Specifications), and Validation Plans.
• Experience with design tools such as AutoCAD, SolidWorks, and CREO.

Desirable:

• 5+ years’ experience in the design, build, programming, and deployment of automation.
• Experience with Fanuc Robot Programming and Python code development.
• Experience with controls automation design and safety standards; NFPA 79, RIA15.06, and other relevant industry standards.
• Substantial industrial experience in Manufacturing Engineering.
• Six-sigma DMAIC & DFSS certified.
• Solid working knowledge of Medical Device QMS procedures.
• Experience working with global teams.
• Demonstrated experience owning production processes and growing capability in yield, quality, and capacity.
• Demonstrated troubleshooting, analytical, and planning skills.
• Strong communication skills (written and verbal) to all levels of the organization.
• Ability to identify and implement Best Practices.

Roles and Responsibilities

• Safety: Owns all safety metrics for the department including continuous improvement to drive risk reduction & injury prevention.
• Quality: Leverage Lean Six Sigma mindset to deliver product quality improves resulting in scrap reductions and better field quality.
• Delivery: Responsible for on-time delivery and inventory of department.
• Cost: Deliver financial results aligned with productivity targets and budget. Own productivity roadmap to delivery sustained YoY improvements.
• People: Foster a culture focused on people development.
• Work cross-functionally with QA, AME, and Engineering teams to deliver department/site goals.
• Lead compliance efforts in support of plant goals.

Required Qualifications

• Bachelor’s Degree with 5 years production/supply chain leadership.
• Demonstrated ability to lead and develop teams.
• Demonstrated ability to identify/implement best practices and deal with high levels of ambiguity

Desired Characteristics

• Experience working in regulated industry
• Design or manufacturing engineering experience
• Functional manager experience

- Minimum B.S. Degree in Mechanical/Automation/Chemical/Material Science Engineering or related technical fields.

- Minimum of 3 years of experience or advanced degree.

- Demonstrated process improvement, troubleshooting, analytical and planning skills.

- Fluent in English, clear verbal and written communication skills.

- Ability to work at multiple sites across the greater Milwaukee area.

Legal authorization to work in the U.S. is required.

- Prior Lean/Six Sigma experience

- Prior pharma, machining, or mechanical industry experience

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

As the
Principal Technical Program Manager, you will drive the success of complex, cross-functional programs in the Digital, Cloud, and AI space, with a focus on delivering cloud-based SaaS solutions and AI-enabled products. You will lead critical initiatives in a highly regulated healthcare environment.

• SaaS Program Management:
  • Lead the end-to-end delivery of SaaS products or cloud-based solutions, from conception to launch, with a focus on operationalizing and scaling the product. Manage milestones, timelines, and cross-functional coordination to meet performance, reliability, and security standards.
  • Oversee SaaS architecture and deployment, including multi-tenant models, microservices, and API management, in cloud environments like AWS, Google Cloud, or Azure.
  • Ensure seamless integration of subscription and billing systems, addressing their impact on revenue, customer retention, and growth.
• Cloud Program Management :
  • Oversee cloud infrastructure supporting SaaS products, focusing on scalability, cost optimization, and service availability.
  • Collaborate with engineering teams to manage large, distributed cloud environments and optimize resource usage.
  • Ensure robust security and compliance in cloud deployments, addressing concerns such as data protection, encryption, identity management, and adherence to standards like GDPR and SOC 2.
  • Drive DevOps processes and maintain efficient CI/CD pipelines to enable rapid and reliable development cycles.
• AI/ML Program Management :
  • Lead the development and integration of AI-enabled features in SaaS products, collaborating with data scientists, machine learning engineers, and software teams to manage the entire AI lifecycle, including data collection, model training, deployment, and iteration.
  • Oversee AI model governance to ensure performance, continual improvement, and alignment with ethical guidelines, mitigating bias and promoting fairness and transparency.
• Program Leadership and Cross-Functional Collaboration :
  • Manage and align multiple cross-functional teams, including engineering, product, data science, marketing, security, and legal, to achieve product and business goals.
  • Communicate complex technical concepts effectively to non-technical stakeholders and senior leadership, ensuring alignment on deliverables and driving accountability.
  • Proactively identify resource needs, manage risks, and implement mitigation plans to adapt strategies and address challenges throughout the program lifecycle.
• AI/Cloud Program Execution and Delivery:
  • End-to-end ownership of delivering AI and cloud-enabled features or products, managing timelines, tracking progress, resolving roadblocks, and driving teams to achieve milestones and deadlines.
  • Deliver scalable, high-performance solutions with minimal downtime, optimizing infrastructure and algorithms for efficiency.
  • Leverage Agile methodologies to manage sprint planning, backlog grooming, and retrospectives, ensuring timelines and technical debt are effectively managed while maintaining quality and iterative development efficiency.
• Metrics, Monitoring, and Performance Optimization :
  • Define and track key performance indicators (KPIs) for SaaS and AI products, including AI model accuracy, latency, scalability, user engagement, uptime, retention, and revenue growth.
  • Implement robust monitoring systems for AI models and cloud-based SaaS products, leading incident response efforts to address outages, performance issues, or bugs.
  • Use data-driven insights and post-launch feedback to continuously refine products and AI components, driving iterative improvements and optimizing performance.

• Bachelor’s degree and 6+ or more years of program or project management experience; or an associate degree and minimum 8 years of program or project management experience.
• Minimum 2 years’ experience leading cross-functional teams.
• Proven experience managing cloud-based SaaS products, including infrastructure, scalability, deployment, and security, with a focus on program-level delivery and coordination.
• Hands-on experience delivering AI-powered features within products, including managing AI model development, deployment, and performance optimization.
• Demonstrated success leading large-scale, cross-functional programs across engineering, product, data science, and other teams, with a track record of aligning business and technical stakeholders.
• Expertise with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with machine learning tools like TensorFlow, PyTorch, SageMaker, or AI APIs.
• Strong experience with Agile methodologies to manage programs effectively, including managing sprint planning, backlog grooming, and sprint retrospectives while ensuring that timelines and technical debt are managed properly.
• Exceptional communication skills, with the ability to convey updates effectively and manage stakeholder expectations.

• Experience working within the medical device or healthcare technology sector, with a thorough understanding of regulatory requirements
• Ability to balance tactical execution with aligning short-term program goals to long-term strategic objectives
• Knowledge of SaaS business models , subscription management, and recurring billing systems, as well as managing integrations with payment providers and understanding their implications on revenue, customer retention, and growth.
• Understanding of the critical security concerns in cloud deployments, such as data protection , encryption , identity management , and compliance (e.g., GDPR, SOC 2), and work cross-functionally to implement these standards.
• Experience in managing the cloud infrastructure needed to support SaaS products, including scalability, cost management, and ensuring service availability. The TPM should be able to manage large, distributed cloud environments and work with engineers to optimize cloud resource usage and performance.
• Experience managing the entire AI development lifecycle, including data collection, model training, deployment, monitoring, and iteration, while ensuring models are well-governed, continuously improved, and aligned with ethical guidelines to mitigate bias and promote fairness.
• Experience in implementing monitoring systems for AI models and cloud-based SaaS products .
• Expert with MS: Suite including Power Point, Excel and Word
• Current Project Management Professional (PMP) certification
• Lean/Six Sigma certification

Responsibilities:

• Receive material into inventory and inspect for defects or irregularities using a variety of measuring devices such as calipers, micrometers, etc.
• Inspect product for cosmetic flaws and/or damage prior to shipping.
• Maintain accurate records in Oracle and eDHR including notes, scrap, rejects, hold tags, and shipping documents.
• Communicate with production staff regarding quality issues found during inspection.
• Train new employees on procedures and processes related to receiving, inspection, and shipping.
• Participate in cross functional teams to address root causes identified through quality inspections.
• Work collaboratively with Production Management to implement solutions for quality concerns.
• Conduct periodic audits of inspection processes and provide feedback to supervisors.
• Coordinate activities between departments such as Production, Warehouse, Purchasing, Shipping, and Maintenance.
• Review work orders and ensure proper documentation has been completed before releasing products.

Qualifications:

• High school diploma required, Associates degree preferred.
• Minimum two years’ experience working in a manufacturing environment.
• Strong knowledge of Microsoft Office applications (Outlook, Word, Excel, PowerPoint).
• Ability to read blueprints and schematics.
• Excellent verbal and written communication skills.
• Organized, detail oriented, self motivated, and able to multi-task effectively.
• Experience with Oracle or eDHR software is desirable.