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Director of Operations-AI Skilling

Microsoft
Remote (United States) Posted Sep 4, 2026
Remote

About this role

Director of Operations-AI Skilling

United States, Multiple Locations, Multiple Locations

+3 more

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Job description

Company and benefits

Job number

200044664

Date posted

Sep 04, 2026

Work site

0 days / week in-office – remote

Travel

Less than 25%

Profession

Business Operations

Discipline

Process Management

Role type

People Manager

Employment type

Full-Time

Overview

Microsoft is a place where passionate innovators come together to collaborate, envision what’s possible, and take their careers further. In a world driven by cloud-enabled innovation, we embrace openness, creativity, and limitless thinking.

Our mission is to empower every person and every organization on the planet to achieve more. We bring this to life through a growth mindset, a commitment to innovation, and a culture grounded in respect, integrity, and accountability, where everyone can thrive at work and beyond.

The Global Skilling Product Team (GSPT) is on a mission to build world-class skilling products and experiences that inspire customers, partners, Microsoft sellers, and future generations. Our goal is to reach 100M+ learners globally through impactful skilling, upskilling, and reskilling solutions.

We are seeking an experienced Director of Operations-AI Skilling to lead the Operations team within the Product Team in Global Skilling, reporting directly to the GM, Global Skilling Product Team (GSPT). In support of Global Skilling’s priorities to empower the global workforce, skill a world-class sales organization, reach new learner audiences, drive real-world impact with AI, and energize the team, this leader evolves Content Publishing and Credential Operations to operate at product speed, accruing to product priorities — enabling product and agentic skilling experiences to scale globally with reliability, efficiency, and measurable impact.

Responsibilities

AI-first Process design and execution:

  • -
  • -Owns and drives the AI first strategy and vision for the entire content lifecycle from first principles – ingestion, creation, publishing, localization and maintenance with continuous improvement methodologies, efficiencies and scale. Determines prioritization for process improvement, including optimizing, maintaining, and transforming current processes to increase effici

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