Intelligent Optimization Lead, Continuous Improvement
- Location
- United States
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 6+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- Lean Six Sigma Green Belt
- kaizen
- Lean
- AI agent lifecycle management
- drift detection
- prompt library management
Also useful
- Six Sigma Black Belt
- Copilot Dashboard analytics
About the role
Establish and run the Continuous Improvement Framework as a permanent, always-on operating rhythm rather than a one-off activity, grounded in kaizen and strong facilitation. Redesign and rerun workflows to outcomes, running structured improvement cycles in which each measurement cycle feeds and improves the next.
Solve the last-mile problem by embedding new ways of working into standard work, clear ownership, and a disciplined execution cadence. Read the Copilot Dashboard and other measurement signals to find where usage is shallow, which roles are stuck, and where behavior change is or is not landing, and convert those signals into prioritized improvements.
Continuously refine prompt libraries, enablement materials, and agent configurations based on usage data and Work IQ behavior signals. Detect and correct agent drift, retire or rework low-value agents, and direct further investment toward high-ROI agents. Establish standard work, ownership, and review cadences that make improvements durable and repeatable across teams.
Facilitate improvement events and retrospectives that treat friction and feedback as inputs to the next cycle rather than one-off fixes. Capture reusable improvement patterns and playbooks that raise the quality and speed of every subsequent cycle. Transfer the continuous improvement discipline, cadences, and tooling to the customer's own people so the rhythm is sustained after the engagement fades.
Recommend and drive the discontinuation of workflows, agents, and enablement assets that are not returning value (including work the engagement itself originally built) to ensure capacity flows to the most important value. AI value compounds cycle after cycle rather than plateauing after initial deployment. Adoption deepens, agents stay tuned and current, and prompt libraries and enablement stay fresh.
New ways of working stick because they are embedded in standard work, ownership, and an execution cadence. Investment flows to high-ROI agents while low-value ones are reworked or retired. The customer runs the continuous improvement rhythm independently after the engagement fades. Low value work is deprioritized and stopped. Subtraction is accepted by the customer as a normal part of the improvement rhythm.
Master's Degree in Business, Engineering, Operations, Information Systems, or related field AND 4+ years experience in continuous improvement, operational excellence, process improvement, or transformation delivery OR Business, Engineering, Operations, Information Systems or related field AND 6+ years experience in continuous improvement, operational excellence, process improvement, or transformation delivery OR equivalent experience.
Proven track record running continuous improvement or operational excellence programs that delivered sustained, measurable results. Hands-on experience with kaizen, Lean, or comparable improvement methodologies and facilitation of improvement events. Experience establishing standard work, ownership models, and execution cadences that make change durable.
Experience with quality assurance or evaluation practices for production systems. Ability to read operational and adoption metrics and translate them into prioritized improvements. Strong facilitation and stakeholder-management skills across business and technical teams. Ability to work directly with operators and business owners to embed new ways of working into daily operations.
Strong problem-solving skills in ambiguous, fast-moving environments. Lean, Six Sigma (Green/Black Belt), or equivalent continuous improvement certification. Experience improving AI or automation solutions in production, including managing model, prompt, or agent performance over time. Understanding of agent operations, including drift detection, evaluation, and lifecycle management.
Experience linking improvement work to value and P&L outcomes. Industry depth in one or more sectors such as Financial Services, Healthcare, Manufacturing, Energy, or Government. Experience transferring a continuous improvement capability into a client's own organization.
From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.
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This Intelligent Optimization Lead, Continuous Improvement position at Microsoft is located in United States. Always check Microsoft's application page for specific state eligibility or relocation policies.
What qualifications are required for Intelligent Optimization Lead, Continuous Improvement at Microsoft?
For the Intelligent Optimization Lead, Continuous Improvement role, Microsoft highlights 6+ years of relevant experience; a bachelor's degree; experience with kaizen, Lean, AI agent lifecycle management, drift detection, prompt library management. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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