Ameriprise

Ameriprise

Knowledge Analyst - S&O Knowledge Management

Minneapolis, Minnesota · Part-time

No sponsorship$58k-$80kDetected 12 days ago
Project ManagementLogisticsProcess ImprovementCommunicationCollaborationPublic SpeakingPlain Language

About the role

  • Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients.
  • Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.
  • Contribute to broader knowledge management tasks, including content creation, updates, and feedback.

Responsibilities

  • Digital Adoption & Guide Me (Whatfix) support
  • Create, maintain, and improve digital in-tool support (e.g., walkthroughs, tooltips, smart tips, beacons).
  • Partner with SMEs, technology, and business teams to ensure accuracy and support process or tool changes.
  • Test, deploy, and validate release updates with business partners.
  • Create and maintain knowledge base content using company and team guidelines to improve readability and consistency. Support and process content feedback in a timely manner to ensure content accuracy. Optimize content for usability and search effectiveness.
  • Project & Relationship Support
  • Support internal business initiatives through content analysis
  • Build consensus across teams
  • Adapt to evolving priorities and perform other duties as assigned.
  • Support facilitators during delivery to ensure sessions are organized, engaging, and meet learner needs.

Requirements

  • Strong ability to organize and synthesize information from multiple sources into clear, consumable content.
  • High school degree or equivalent.

Nice to have

  • Comfortable presenting to both small and large audiences (virtually or in-person).
  • Familiarity with digital interactive guidance tools (e.g., Whatfix) or similar digital adoption platforms.
  • Background in writing, project management, or process improvement.
  • In-Office Collaboration
  • Working together, in-person, is foundational to how we achieve results.
  • Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week.
  • Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
  • Visa Sponsorship

Compensation

  • The estimated base salary for this role is $58,300 - $80,100/ year.
  • We have a pay-for-performance compensation philosophy.
  • Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location.
  • In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role.

Benefits

  • Learning Experience Production & Facilitation Support
  • Coordinate and produce virtual and in-person learning sessions, including agendas, materials, and communications.

Company info

  • About Our Company
  • We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024.
  • We are a longstanding leader in financial planning and advice, a global asset manager and an insurer.
  • Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Equal opportunity

  • Ameriprise Financial is an equal opportunity employer.
  • If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Visa & Work Authorization

  • Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

This listing is sourced directly from Ameriprise's careers page and normalized into a canonical job model.