AI-Driven Insights Project Manager — Remote

Dynatrace

United States

Remote

USD 116,000 - 145,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Life insurance
STD
LTD
401K
Paid time off

Job summary

Dynatrace is seeking a Strategic Analyst for the Insights team to drive AI-enabled tools and specialized projects. You will partner with senior leadership to define, pilot, and operationalize new processes, grounding tools in live customer work and enabling the team through training and documentation.

You will shape Insights strategy around emerging capabilities, track adoption, and work with Data Science & Engineering and Product teams to align initiatives with broader priorities.

Qualifications

  • Experience using or evaluating AI-based tools in a business or analytical setting.
  • Bachelor’s degree in Statistics, Mathematics, Economics, Marketing, or a related quantitative field.
  • 3–5 years of experience with data analysis and presenting findings clearly.

Responsibilities

  • Lead specialized AI-enabled projects within the Insights portfolio.
  • Partner with senior leadership to pilot and operationalize new AI processes.
  • Build and test AI tools, workflows, and analyses grounded in live customer work.
  • Coordinate with Data Science & Engineering and Product teams on new capabilities.
  • Train and document processes to enable the broader Insights team.

Skills

AI-based tools experience
Data analysis
Executive communication
Training & enablement

Education

Bachelor's degree in Statistics, Mathematics, Economics, Marketing or related quantitative field

Tools

APIs
Scripting
Low-code / no-code AI tools

Job description

Dynatrace is seeking a Strategic Analyst for the Insights team to drive AI-enabled tools and specialized projects. You will partner with senior leadership to define, pilot, and operationalize new processes, grounding tools in live customer work and enabling the team through training and documentation.

You will shape Insights strategy around emerging capabilities, track adoption, and work with Data Science & Engineering and Product teams to align initiatives with broader priorities.

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