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Director, AI Network Connectivity

Microsoft
United Statesfull_timeVerifiedPosted 1 Jul 2024
💰 $294,000/yr($137,600/yr$294,000/yr)

About the role

The Cloud Operations + Innovation (CO+I) AI Delivery team is focused on delivering various platform services to our global AI customers.   As part of the AI Delivery team, this role will require deep partnership across Microsoft as these programs will be on the leading edge of innovation and will include driving pilots and other experiments that shape our ongoing commitment to deliver AI platform services rapidly at cloud scale. We are part of  (CO+I), the team behind one of the world’s largest cloud infrastructures, responsible for powering all Microsoft online products and services as well as powering Microsoft’s “Cloud First” mission. CO+I is focused on growth, efficiency, and delivering a trusted experience to customers and partners worldwide. 

 

We are looking for a Director, AI Network Connectivity to own AI connectivity solutions required to bring new capacity live. This involves cross-functional engagement with teams in every phase of the network infrastructure lifecycle and a deep understanding of the technical and business impacts of various solutions.

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

 

 

 

 

 

 

 

 

 

 

 

 

Responsibilities

 

Analysis:

  • Guides teams to identify opportunities and gaps in process implementation, solicit customer feedback, and perform research. Advocates for data-driven decision-making and ensures alignment between customers, market, internal stakeholders, and Microsoft’s goals and strategy.
  • Leads and coaches teams to develop problem statements and hypotheses for features and process improvements across divisional boundaries. Leads teams to perform experiments to test hypotheses and inform decisions. Establishes clarity of root problems and trends, and leads process improvements. Facilitates collaboration between their team and partner teams to bring about solutions.

Product/Service Definition:

  • Leads and coaches teams to develop problem statements and hypotheses for features across divisional boundaries. Leads teams to perform experiments to test hypotheses and inform decisions. Establishes clarity of root problems and trends, and leads process improvements. Facilitates collaboration between their team and partner teams to bring about solutions.
  • Drive broad initiatives across the organization.
  • Define organizational strategies for managing a diverse portfolio of products.

Product/Service Development:

  • Acts as a subject matter expert in orchestrating and integrating efforts for the development and implementation of features on large cross-functional projects. Drives collaboration and coordination across teams to ensure alignment on product management and release.
  • Guides teams to partner with engineering to contribute, prioritize, and deliver on the roadmap for features. Drives teams to understand the value proposition and justify capacity requirements. Partners with engineering to ensure alignment with goal updates and tradeoffs.
  • Guides teams in tracking, coordinating, and communicating end-to-end project schedules for features. Ensures teams establish and monitor processes, track and manage dependencies, and make adjustments when projects are not aligned to schedules or goals.
  • Drives teams to develop the staging and implementation plan for piloting/release in alignment with OKRs and KPIs for features. Ensures teams collaborate with stakeholders to monitor progress and adjust as needed.
  • Helps teams lead governance programs and processes to ensure performance requirements and standards are met throughout the development lifecycle.

Product/Service Performance:

  • Provides expertise in partnering with others to collect performance metrics, monitor and report on progress, and derive insights to improve development, iteration, and implementation of features. Leverages customer listening systems, telemetry, and engagements to develop insights on product performance and customer needs. Leads teams to form hypotheses, perform experiments, and iterate to drive improvement in specific performance metrics.

 

Other