1 day ago
Responsibilities
- Establish and run the Intelligent Optimization Framework as an always-on operating rhythm based on kaizen and structured facilitation.
- Redesign and rerun workflows through measurement-driven improvement cycles focused on business outcomes.
- Embed new ways of working through standard work, clear ownership, and disciplined execution cadences.
- Analyze the Copilot Dashboard, Work IQ signals, usage data, and other measurements to identify adoption and performance gaps and prioritize improvements.
- Refine prompt libraries, enablement materials, and agent configurations, and detect, correct, retire, or rework underperforming agents.
- Establish review cadences, facilitate improvement events and retrospectives, and document reusable improvement patterns and playbooks.
- Transfer optimization disciplines, tooling, and cadences to customer teams so they can sustain the practice independently.
- Recommend and drive discontinuation of workflows, agents, and enablement assets that do not deliver sufficient value.
Requirements
- Master's degree in Computer Science, Information Technology, Engineering, or a related field and 6+ years of relevant experience, or bachelor's degree in one of these fields and 8+ years of relevant experience, or equivalent experience.
- At least 2 years of experience managing multiple projects or portfolios.
- At least 1 year of experience leading blended, multidisciplinary teams.
- Preferred Lean, Six Sigma Green Belt or Black Belt, or equivalent continuous improvement certification.
- Preferred experience improving AI or automation solutions in production, including model, prompt, or agent performance management.
- Preferred familiarity with Microsoft Copilot adoption, the Copilot Dashboard in Viva Insights, agent operations, drift detection, evaluation, and lifecycle management.
- Preferred experience linking improvement initiatives to value and P&L outcomes and transferring continuous improvement capabilities to customers.
- Preferred track record running continuous improvement or operational excellence programs with sustained measurable results.
- Preferred hands-on experience with kaizen, Lean, facilitation, standard work, ownership models, execution cadences, and quality assurance or evaluation practices for production systems.
- Ability to interpret operational and adoption metrics, facilitate stakeholders across business and technical teams, embed new ways of working with operators and business owners, and solve problems in ambiguous environments.
Categories
Solutions Engineering
About Microsoft
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