Audience Strategy & Operations Manager

Microsoft Microsoft · Big Tech · United States · Integrated Learning & Skilling

This role manages audience skilling programs and operations for Microsoft's AI Skills Navigator, focusing on content execution, campaign prioritization, and program delivery to accelerate skill acquisition for workforce audiences. It involves establishing an Audience Insights Center of Excellence and aligning with product teams on roadmap and deliverables.

What you'd actually do

  1. Establish and scale an Audience Insights Center of Excellence (CoE) to drive consistency, rigor, and Operational Excellence - defining and implementing standard processes, templates, and governance, including cross-team engagement models.
  2. Lead end-to-end Audience content operations for AI Skills Navigator (ASN), aligning with the product team on roadmap, gaps, deliverables, timelines and Audience execution plans.
  3. Establish and drive adoption of editorial calendar and intake prioritization frameworks for campaigns, content, and creative support – balancing business impact, urgency, & capacity
  4. Event content curation for Tier 1 Skilling event experiences, and ensuring plans land on Audience editorial calendars
  5. Define standards for asset management, documentation, and bill-of-materials structure, ensuring traceability across content, playlists, and campaigns.

Skills

Required

  • Master's Degree or equivalent 1+ year(s) experience in product marketing, learning and development, relevant technical roles, customer success, research, industry, program/project management, or corporate education OR Bachelor's degree or equivalent AND 2+ years experience in product marketing, learning and development, relevant technical roles, customer success, research, industry, program/project management, or corporate education
  • equivalent experience

Nice to have

  • program management
  • content operations
  • go-to-market execution
  • delivering results
  • continuous learning and improvement
  • applying AI technologies in productivity or skilling scenarios
  • prioritize across competing demands
  • clarity in ambiguous environments
  • working cross-functionally with product, creative, and business stakeholders
  • building and scaling operating models
  • governance
  • centers of excellence
  • systems thinking
  • data-informed problem solving
  • effective stakeholder communication

What the JD emphasized

  • AI Skills Navigator
  • scale
  • operational excellence
  • governance
  • prioritization frameworks
  • content operations