What are the responsibilities and job description for the DevOps Data Science Manager position at Idaho State Job Bank?
DevOps Data Science Manager at Deloitte in Boise, Idaho, United States Job Description Manager, Data Science - DevOps Data Science Manager - AI / ML Deloitte Technology US is seeking a seasoned Cloud - AI DevOps Engineer who will work as part of a cross-functional agile team to launch innovative AI-driven Data and Analytics products. This role works virtually on a globally distributed team, but this individual must be based within the continental United States. Recruiting for this role ends on 23rd August 2024 Work You'll Do This is an opportunity for an individual who would like to lead the design and implementation of enterprise-scale data architecture across a diverse portfolio of applications. You'll work with cutting-edge DevOps technologies develop advanced analytics products within cloud environments. Stakeholders include our internal senior leadership teams and alongside a development team that includes an analytics engineer, Human Centered Design engineer / Designer, web developer and data engineers. Additionally, you'll be given the flexibility to explore and implement data collection methods and leverage both traditional and unconventional approaches to translate business requirements into actionable technical solutions. The successful candidate will possess : Strong critical thinking, analysis, and problem-solving skills Strong written and oral communication skills Experience working independently as well as collaboratively across business and technical teams The Team The Deloitte Technology Office of CIO (OCIO) Service Assurance team offers analytics services to various teams within the Office of the Chief Information Officer (CIO). They seek to unlock the power of AI and provide actionable insights through specialized analytics and reporting. Qualifications Required Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience 6 years working in an Information Technology field supporting Data Analytics / Engineering 6 years of experience with scripting proficiency (in python, Bash or Shell) and architecture experience 6 years of expertise in performance tuning databases, applications, or networks 2 years with Cloud Engineering Tools (e.g. Azure, Google Cloud Platform / GCP, Amazon Web Services / AWS) 1 years integrating Tableau, PowerBI, QuickSight, Looker, or other similar BI tools Minimum of 1 year people and / or leadership experience Limited immigration sponsorship may be available Preferred E To view full details and how to apply, please login or create a Job Seeker account
