5 innovation designer jobs at 5 companies in Buffalo, MN
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Innovation Intern
Minneapolis or Minnesota
$18/hr OnsiteMultiple Commitments Available
Currently pursuing a four-year undergraduate degree in engineering, design, architecture, data analytics, software development, or a related field; communication, collaboration, problem-solving, and organizational skills required.
Computer Coding, AI, Robotics and Automation, Data Analytics
3w
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Adjunct Lecturer or Teaching Specialist - Department of Design Innovation
Minneapolis or St. Paul
$8k-$12k/yr OnsitePart Time
Master's or Bachelor's plus professional recognition; evidence of teaching competence, communication skills, cultural awareness; terminal degree (PhD/MFA) preferred; technologically innovative teaching preferred.
3mo
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Surest Senior Director, Benefit Innovation - Remote
New York or Minneapolis
$159k-$273k/yr RemoteFull Time
10+ YOE10+ years health benefits consulting/design strategy; 5+ years financial/actuarial experience; 3+ years executive storytelling; travel ~10%.
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Global Capability Center Commercial Capabilities Director
Arlington or Atlanta or Austin or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$151k-$388k/yr OnsiteFull Time
12+ YOERequires 12+ years in GCC strategy, organization design, operating models, and transformation; product, analytics, data, AI, governance, innovation, and senior stakeholder leadership experience.
AI, advanced analytics, automation technologies, data analytics, Microsoft Power BI
4w
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Data Engineer (Multiple Positions)
Bloomington, Minnesota, United States
$91k-$115k/yr OnsiteFull Time
Work in scrum teams to design, store, manage and deliver data; automate data preparation and integration; reduce manual data work and improve productivity; test innovative tools and techniques.