Formulate planning, budgeting, forecasting and reporting strategies.
Adjusting to multiple demands, shifting priorities, ambiguity and rapid change.
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
An advanced degree in the area of specialization is preferred.
Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing)
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
Managing and analyzing existing processes to identify automation opportunities across multiple platforms and technologies
Collaborating with Senior Automation Engineers and development teams to design processes in the most efficient way to enable automation and machine learning in a culture of innovation
Managing automation opportunities including both internal IT processes and business processes that are, or can be enabled by technology
Leading the development and maintenance of non-complex automated processes, delivering projects on time and within budget
Managing and maintaining a portfolio of clients
Conducting impact analysis of any application or infrastructure changes that interact with automation and make associated script changes and updates
Developing reporting to measure the effectiveness of automated processes