Legal Tech & AI Operations Lead

T-Mobile

Overland Park (KS)

On-site

USD 118,000 - 245,000

Full time

14 days+
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Benefits offered by this job

Annual stock grant
401(k)
Employee stock purchase plan
Paid time off
12 paid holidays
Parental leave
Tuition assistance

Job summary

T-Mobile seeks a technology and AI strategist for its All-Star Legal Team. You will define how technology transforms a practice area while delivering hands-on solutions and owning the outcomes.

You will partner with IT, Legal Ops, and vendors, own the roadmap, manage timelines, and ensure measurable results. A Bachelor's degree and 4–7 years in related fields are required, with experience in low-code/no-code platforms.

Qualifications

  • AI tools and strategy: hands-on use of AI assistants and LLM tools.
  • Low-code/no-code development: Power Platform or similar.
  • Technology roadmap development
  • Requirements gathering
  • Stakeholder management
  • Program management
  • Change management
  • Workflow automation
  • Solution design

Responsibilities

  • Develops complex applications using low-code/no-code and AI tools to deliver outcomes for the assigned practice area.
  • Gathers requirements and builds a framework addressing friction points and strategic outcomes.
  • Partners with IT, Legal Ops, and vendors to support technology needs and surface opportunities.
  • Owns the full technology roadmap for the assigned practice area, coordinating priorities and resources.

Skills

AI strategy
Low-code/no-code
Tech roadmap
Requirements gathering
Stakeholder mgmt
Program management
Change management
Workflow automation
Solution design
Python scripting

Education

Bachelor's degree

Tools

Power Platform
Matter management
CLM
DMS

Job description

T-Mobile seeks a technology and AI strategist for its All-Star Legal Team. You will define how technology transforms a practice area while delivering hands-on solutions and owning the outcomes.

You will partner with IT, Legal Ops, and vendors, own the roadmap, manage timelines, and ensure measurable results. A Bachelor's degree and 4–7 years in related fields are required, with experience in low-code/no-code platforms.

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