за рубежом
з/п не указана
2 год назад
Ищут организованного и коммуникабельного человека, который со всей ответственностью подходит к делу, доводя его до конца.
Обязанности
- Develop and drive an architectural vision to support the continued exponential growth of machine/device (IoT) data use cases and outcomes;
- Be an active participant and the authoritative technical voice in Data & Analytics product strategy discussions;
- Define reference architecture and own the technical solutioning of Device Analytical twin to scale to 1M+ devices over the next few years;
- Cultivate close relationship with Product and Engineering leadership to influence design of products for insights and AI;
- Define and drive the future state vision for Device/Machine (IoT) data analytics & insights based on One Data Platform (ODP) foundation accounting for the 3 Vs’ - Velocity, Variety, Volume;
- Define technical standards and patterns for Machine data processing, storage, and use;
- Lead/Support strategic customer engagements (Internal and External);
- Establish an active community of Technologists and engineers who can be key champions of ODP (One Data Platform) and drive consumption and new feature development;
- Actively participate in Industry standard forums to carry GE Healthcare’s vision and drive best practices;
- Mentor emerging technical talent in the organization;
Требования
- Bachelor’s Degree in STEM required. Masters preferred;
- Minimum 15+ years or relevant experience;
- Demonstrated experience with Enterprise Data Architecture, Data Analytics including technology evaluations, solution implementation, process oversight, regulatory knowledge;
- Demonstrable experience implementing large scale, cloud based (AWS) enterprise level data lakes, that cater to heterogenous use cases , including Data Science , AI/ML, IoT, Advance analytics , Data Management, Data as a Service and Reporting;
- Adopts a holistic systems perspective. Empathizes with multiple points of view but able to drive to decision;
- Challenges program/product planning assumptions;
- Strong business analysis, problem solving, and strategy development skills;
- Proven expertise in dealing with large data sets - Big data, as well as traditional structured data warehouse environments;
- Contributed/Presented white papers in relevant data areas at recognized conferences/events;
Условия
- Релокация в США;
