Launch Operations Manager

The Product Operations team is seeking a Launch Operations Manager who can own complex back-office execution for product and service launches, with an emphasis on applying AI across Product Master Data, operational rules, system readiness, data quality, and operational transformation. This role supports the configuration and movement of product, offer, pricing, regional, channel, and lifecycle data across internal operational systems so launches can be executed accurately, consistently, and at scale.  The ideal candidate brings deep operational discipline, hands-on experience working inside enterprise back-office environments, and a passion for AI and innovation. They should be eager to use Microsoft's existing and future AI capabilities to improve Product Operations processes, automate repeatable work where practical, and work in conjunction with AI on the most complex operational asks, including master data quality, rule interpretation, exception handling, workflow automation, and decision support.  The position requires strong experience with internal operational system migration, including data migration planning, source-to-target mapping, data validation, system architecture awareness, cutover readiness, issue triage, and post-migration stabilization. The candidate should be able to master complex operational systems and master data processes, operate with autonomy, identify operational risk before it affects launch outcomes, and serve as a change ambassador who influences and leads without authority to drive adoption of new ways of working.

Own Product Master Data readiness for product and service launches while using AI-enabled methods to improve accuracy, completeness, validation, and repeatability across product attributes, pricing inputs, regions, channels, lifecycle states, offer relationships, and launch dates.   Translate business, pricing, finance, tax, engineering, and launch requirements into back-office operational data structures, rules, controls, and system execution steps, using AI to accelerate analysis and improve consistency where appropriate.   Use AI and automation to execute and improve quality controls for master data and launch configuration, including pre-launch validation, exception management, root-cause analysis, defect prevention, and evidence-based signoff.   Define, document, and maintain operational rules that govern product setup, offer configuration, pricing behavior, launch timing, marketplace eligibility, and post-launch maintenance, making rules clear enough to support future AI-enabled execution.   Lead operational system migration activities for Product Ops workstreams, including current-state assessment, future-state operating model input, data migration scope, mapping logic, validation strategy, cutover planning, defect triage, and stabilization support.   Partner with system owners and engineering teams to understand system architecture, upstream and downstream dependencies, integration touchpoints, data lineage, and impacts to operational execution.   Use operational metrics, system data, exception trends, and AI-assisted analysis to identify process gaps, drive continuous improvement, strengthen controls, and reduce manual rework in back-office launch operations.   Identify and implement practical AI use cases across Product Operations processes, especially for repeatable work such as master data validation, operational rule analysis, exception detection, knowledge management, launch readiness checks, workflow automation, and productivity improvements.   Apply a growth mindset to evaluate Microsoft AI capabilities, learn emerging tools, test responsible adoption opportunities, and translate AI potential into measurable operational improvements with clear business value.   Create clear operational documentation, including data standards, rule logic, migration playbooks, validation checklists, process maps, and issue-resolution guidance, so