GE HealthCare Senior Director - PCS Services Technology 

United States, Wisconsin 

407043914

In this role, you will:

• Lead global engineering for PCS Service Technology platform development and product/offerings innovation, fostering a culture of innovation, inclusion, and customer centricity.
• Oversee global talent management and organizational structures. Drive program execution and manage a significant budget.
• Define and develop standard work for PCS product teams and continuously improve engineering processes, tools, and standard work to equip the team for success.
• Collaborate with product management and other teams to build technology roadmaps. Ensure customer needs are represented in requirements.
• Lead design development for advanced technology projects. Guide multi-generational technology strategies.
• Ensure compliance with quality and regulatory standards.
• Manage data and intellectual property strategy.
• Mentor less experienced engineering leaders. Develop cross-functional relationships to maximize business outcomes.

QUALIFICATIONS

• Bachelor's Degree in Electronics, Biomedical, or Computer Engineering.
• 7+ years of design and development experience in medical devices.
• 5+ years of engineering management and program management experience.
• Expertise in cloud-native, distributed computing, and IoT technologies; hands-on experience with Agile methodologies.
• Strong communication and problem-solving skills.
• Experience in building and leading globally distributed teams

DESIRED CHARACHTERISTICS

• Master’s Degree in relevant fields.
• 10+ years of progressive service or engineering experience.
• Proven mentoring and coaching abilities.
• Experience with Design For Reliability (DFR) or Design For Service (DFS).
• Lean/Six Sigma experience
• Direct customer interaction experience and proven ability to drive change and gain buy-in from stakeholders.
• Experience in systems engineering, service engineering, and digital solutions.
• Background in building cloud-native SaaS solutions.
• Strong understanding of IoT systems and data security.
• Knowledge of data analysis, machine learning, and AI integration.