Overview

The Frontier Transformation Framework helps our customers become Frontier Firms: organisations where AI is part of the operating system the business runs on, moving beyond isolated AI pilots and embedding AI into how the business operates, makes decisions, and delivers value.

The difference between a transformation and a one-off deployment is what happens after go-live. Without a deliberate improvement discipline, returns erode: adoption plateaus, agents drift, prompt libraries go stale, and high-value agents are starved while low-value ones persist. Continuous Improvement is the operating discipline that makes AI value compound over time rather than dissipate.

The Frontier Transformation team is how Microsoft's Frontier Company delivers this: a small, senior human-agent team in which each member brings one of the Framework's eight capabilities to the customer, directs a set of digital co-workers to deliver at a scale headcount alone could not, and is designed to transition capability to a customer counterpart who can carry the work forward.

We are seeking an Intelligent Optimization Lead, Continuous Improvement to help strategic customers turn AI investments into measurable, sustainable business outcomes. In this role, you will establish and run the Continuous Improvement Framework as a permanent operating rhythm, grounded in strong facilitation and continuous improvement principles, that redesigns and optimises workflows to deliver business outcomes.

You will solve the last-mile challenge of AI transformation, embedding what gets built into how work actually gets done through standard work, clear ownership, and an execution cadence that makes new ways of working stick. Working directly with business owners, operators, champions, and the Value, Skilling, Change, and Engineering Leads, you will help customers realise ongoing value from AI-enabled workflows and agents.

This role is for people who are energised by making change stick rather than simply launching it, who can read performance and adoption signals and translate them into the next cycle of improvement, and who believe that a programme that ships once and leaves is a release, not a transformation.

Success in this role means helping customers build the capability to own and sustain their improvement rhythm long after the engagement ends. If you are excited by turning AI deployments into business value that compounds cycle after cycle, this role is for you.

Essential experience: continuous improvement / operational excellence, Kaizen/Lean, improvement-event facilitation

Responsibilities

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.

Success in this role looks like

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.

Qualifications

Additional or Preferred Qualifications

Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
- Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
- OR equivalent experience.
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.
Familiarity with Microsoft Copilot adoption and the Copilot Dashboard in Viva Insights, and with using usage signals to drive improvement.
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

Essential experience: continuous improvement / operational excellence, Kaizen/Lean, improvement-event facilitation
Embedding change: standard work, ownership models and execution cadences
Measurement: QA/evaluation practices and translating operational/adoption metrics into improvements
Practical delivery: working directly with operators/business owners to embed change

#FrontierTransformationGroup

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft

Intelligent Optimization Lead - Continuous Improvement

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