Intelligent Optimization Lead

Full Job Description

Establish and run the Intelligent Optimization 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 optimization 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 intelligent optimization 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. 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. Bachelor's Degree or Master's Degree in Business, Engineering, Operations, Information Systems, or a related field OR equivalent experience.

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