Start Date
Immediate
Expiry Date
29 Jul, 25
Salary
0.0
Posted On
29 Apr, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Architecture, Procedural Documentation, Architectural Patterns, Software, Analytical Skills, Training, Solution Implementation, Hybrid Cloud, Automation, Strategy, Information Systems, Process Design, Technology Trends, Operating Models, Systems Analysis
Industry
Information Technology/IT
EDUCATION
JOB REQUIREMENTS
Interested in working at NetApp? Search our open jobs - www.netapp.com/us/careers/
Job Description
Data has become the lifeblood of organizations, seamlessly flowing through in order to enable new customer touchpoints through technology, create innovative business opportunities and optimize operations. Organizations count on NetApp to manage and protect their data.
Our customers rely on NetApp cutting edge innovations in software defined infrastructure, cloud, hybrid cloud as well as traditional data center technologies and the Data Fabric to connect them all and enable seamless management capabilities. And we never let them down…
Continually breaking new ground is the norm here. We make sure of it with an open, collaborative culture that fuels fresh thinking. Right from day one, we’ll encourage you to share your views, challenge opinions and push boundaries. And thanks to mentoring and leadership programs that help you build on your personal and professional passions, you’ll develop your skills as fast as your ideas. Become a key part of our vision.
The Robotics and Cognitive Automation Solutions Lead will be responsible for supporting the EIPA CoE goals of business, Operations transformation, foundational capabilities, and supporting program delivery in partnership with CIO and LoB teams. The position requires deep SME knowledge and proven delivery experience across multiple RPA/ML/AI technologies.
The role also involves creation and delivery of standards, methodologies and shared capability development in line with the goals of promoting RPA/ML/AI adoption and delivery excellence.
Acting as key member of the capability team, he/she will also support other functions across strategy, process design, infrastructure, governance and community of practice.