Microsoft
Director of Operations-AI Skilling
United States, Multiple Locations, Multiple Locations · Director
Sponsorship not specified$131k-$277kDetected 1 day ago
Data AnalysisOutbound SalesProcess ImprovementResearchLeadershipCommunicationCollaborationProblem SolvingMentoring
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Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
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About the role
- 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.
Responsibilities
- AI-first Process design and execution:
- Develops operations roadmap with clear end-to-end views of expected business outcomes for owned processes across the organization by leveraging data, research, and assessments.
- Guides stakeholder engagement rhythm to ensure engagement and alignment across teams to drive process outcomes.
- Leads the identification of alternative solutions and options to resolve challenges with executive business partners across the organization.
- Sponsors process design and the development of business outcomes for highly complex processes across the organization to assess process performance for teams across the organization.
- Oversees definition of yearly goals and creates solutions for anchoring to industry standards and process measures, implementing controls, maintaining compliance, optimizing customer experience, and helping to increase efficiency and reliability of business operations for teams across the organization.
- Specifically, the role owns the following operational focus areas:
- Delivery Operations - Predictable capacity through dedicated teams and responsive scheduling with fewer exceptions through regional flexibility, clear separation of delivery execution from operational excellence, and tool-driven operations on a modern delivery platform that support scale and agility in place of manual workarounds.
- Organizational Operations - Leverages and aligns consolidated content and delivery tools as they become available in product launches, sunsets legacy tools and processes, and operationalizes content ingestion with the support of new tools.
- Process Maintenance and Optimization - Partners across different disciplines to champion process decisions for improvement and build a business case for change.
Requirements
- 4+ years people management experience.
- Supports the increased complexity of expanded modalities and channels and shorter, faster content lifecycles, and stands up and executes the operations required to support new broadcast content channels.
Nice to have
- Master's Degree in Engineering, Business, or related field AND 12+ years process management, process execution, process optimization, or related experience (e.g., data analytics)
- OR Bachelor's Degree in Engineering, Business, or related field AND 15+ years process management, process execution, process optimization, or related experience (e.g., data analytics)
- OR equivalent experience.
- 7+ years people management experience.
- Lean, Business Process Management Professional, Change Management (e.g., Prosci), Six Sigma, and/or Agile certifications a plus.
- 12+ years of experience in process management, business operations, research operations, product operations, or a related discipline.
- 8+ years of experience leading complex, cross-functional operations, process transformation, or product operations programs at enterprise scale.
- 3+ years of experience managing supplier or vendor performance, operational budgets, and related governance controls.
Compensation
- $131k-$277k
Company info
- 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).
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This listing is sourced directly from Microsoft's careers page and normalized into a canonical job model.