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Senior Technical Solutions Manager

Senior Technical Solutions Manager

CompanyMorningstar
LocationChicago, IL, USA
Salary$114600 – $206280
TypeFull-Time
Degrees
Experience LevelExpert or higher

Requirements

  • Engineering background with ten plus years of relevant experience.
  • High energy individual looking to make a difference.

Responsibilities

  • Coordinate and advance the AI charter to implement AI Everywhere, in concert with the Morningstar AI Office.
  • Evaluate and refine AI solutions to continuously iterate on their quality and capability.
  • Motivate and track adoption of AI knowledge, tools and innovation across the business.
  • Intervene as necessary for crisis management to minimize disruption for product development teams.
  • Coordinate implementation of ad-hoc tactical solutions/projects that have high Customer Impact.
  • Connect dots in critical projects and provide coverage for tech leadership where it is lacking.
  • Serve as a bridge between customer needs and product development, identify hidden opportunities for improved product and client experience by observing the intersection of sales, success, product and engineering.
  • Ensure leadership commitments don’t fall through the cracks with timely nudges and follow ups.
  • Ensure goals are aligned, communicated and followed through across teams.
  • Identify and facilitate training, mentoring, and development opportunities for team members, including organizing workshops, tech talks, and learning sessions to enhance team expertise.
  • Observe deviations from core strategy and recommend remedial measures.
  • Refine/Monitor KPI and health dashboards to ensure teams are on track.
  • Spot talent, and recommend nurturing options, providing forums for exposure and interactions with other teams.
  • Facilitate team building activities to build trust and alignment.

Preferred Qualifications

  • Strong curiosity and understanding of latest developments in Generative AI.
  • Tendency to tinker and experiment with everything.
  • Good understanding and interest in Investing.
  • Data analysis skills.
  • Previous Client facing and/or lead experience