GE HealthCare Head Enterprise AI 

Remote, Remote 

892820306

Responsibilities

• Shape the organizational mindset to envision the possibilities for advanced analytics including AI, generating demand for advanced analytics solutions to provide intelligence to decision making including autonomous AI
• Operate as a visionary for the team of advanced analytics experts, while also enrolling non-experts in the outcomes achieved by the advanced analytics team
• Partner with key stakeholders and engagement leads to identify business needs and opportunities to be translated into advanced analytics solutions to create value and competitive advantage
• Develop the advanced analytics enterprise roadmap, including constant evaluation and incorporation of valuable data assets, technologies, and methodologies in both applied and innovation AI/ML, data science, financial analytics, and advanced analytics
• Build and cultivate an industry-leading advanced analytics team that attracts, develops and retains talent
• Identify areas needed to up-skill the expertise by attracting new talent to GE HealthCare and/or implementing strategic sourcing partnerships
• Develop a culture and environment where experts thrive, oversee the development of competency models, career paths, and onboarding and training programs for the individuals in the group
• Collaborate with functional IT teams to identify existing, or new, areas that can benefit significantly from advanced analytics
• Partnerwithvarious internal groups, most notably, senior leadership within our CIO and CTO organizations, our key business stakeholders, notably Integrated Supply Chain and Services, Finance, and Commercial
• Stay abreast of market evolutions and dynamics regarding GE HealthCare’s position in industry

Required Qualifications

• 15+ years of data and analytics experience, with 5+ years of management experience
• Bachelor's degree in Data Science, Statistics, Computer Science, or related graduate-level degree
• Previous experience leading and managing large-scale organizations through significant change management/transformations
• Proven experience managing complex projects and portfolios to deliver business outcomes
• Strong leadership skills: excellent team management, coaching and mentoring skills; superior planning, process and influencing skills
• Deep knowledge of advanced analytics and AI technologies and methodologies, as well as proven experience translating large data into actionable outcomes
• Track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals
• Ability to communicate statistical and technical ideas and results to non-technical stakeholders in written and verbal form, including experience and level of comfort presenting concepts to senior executives
• Business travel is required for regular internal and external business meetings 10-20%

Preferred Qualifications:

• 15+ years of healthcare data and analytics experience, with 5+ years of management experience
• Master's or PhD in Data Science, Statistics, Computer Science, or related graduate-level degree
• Deep knowledge of business analytics and associated practices relevant to the healthcare/medtech/pharmaceutical/biotech industries
• Experience with secondary market research data, such as syndicated sales & marketing data, claims/EMR data, and longitudinal patient data; understanding of statistics and modeling techniques; experience with specific statistical analysis software, etc.