Responsibilities
- Own program execution for AI-enabled Digital Asset review capabilities, including agent performance monitoring, issue triage, quality improvement planning, and readiness for launch and post-launch operations.
- Define and maintain success criteria, key performance indicators (KPIs), operational metrics, and telemetry needed to measure AI agent coverage, accuracy, review velocity, quality, risk reduction, and customer experience.
- Partner with risk domain experts to translate emerging risk signals, policy changes, and review findings into clear business requirements, evaluation criteria, backlog items, and prioritized improvement plans.
- Identify new AI and automation opportunities across the Digital Asset review lifecycle, develop hypotheses, evaluate feasibility and impact, and create proof cases that demonstrate readiness for production deployment.
- Coordinate cross-functional work across engineering, risk, compliance, operations, vendor teams, and business stakeholders to deliver improvements on schedule while managing dependencies, risks, tradeoffs, and stakeholder communications.
- Drive data-informed prioritization by analyzing review outcomes, agent performance trends, false positives, false negatives, escalations, feedback, and operational bottlenecks to recommend improvements that increase coverage and quality.
- Support solution design and implementation planning for multiple AI-enabled features or functional areas, ensuring requirements are clear, measurable, and aligned to privacy, security, Responsible AI, and business expectations.
- Develop and manage experimentation, testing, validation, and rollout plans for agent enhancements, including acceptance criteria, go/no-go recommendations, change management, documentation, and operational handoff.
- Create clear documentation, reporting, and stakeholder-ready narratives that explain agent performance, risks, opportunities, launch readiness, and business impact to both technical and non-technical audiences.
- Contribute to program management best practices for compliance automation, including repeatable mechanisms for intake, prioritization, quality review, production readiness, operational support, and continuous improvement.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science, Engineering, Information Systems, Business, Program Management, Compliance, Risk Management, or a related field AND 4+ years of experience in technical program management, product/program management, compliance technology, automation, operations, or related work; OR equivalent experience.
- Experience managing cross-functional technical programs, including requirements definition, prioritization, execution planning, dependency management, risk management, and stakeholder communications.
- Experience using data, metrics, KPIs, dashboards, or telemetry to evaluate program or product performance and drive measurable improvements.
- Experience working with AI, automation, workflow tooling, compliance systems, governance processes, or technology-enabled operations.
- Ability to translate ambiguous inputs into clear business requirements, success criteria, experiments, and implementation plans.
- Strong written and verbal communication skills with the ability to explain technical and compliance concepts clearly to technical and non-technical audiences.
- Experience with AI agents, machine learning evaluation, prompt or agent quality assessment, model performance monitoring, automated testing, or production readiness for AI-enabled solutions.
- Experience supporting compliance functions, governance, or risk management.
- Experience developing proof-of-concept or proof-case work and converting validated opportunities into production-ready solutions.
- Experience with reporting and workflow tools such as Power BI, Excel, Power Automate, Azure DevOps, or similar systems used to manage backlogs, metrics, and operational performance.
- Demonstrated ability to influence stakeholders, resolve ambiguity, manage tradeoffs, and drive alignment across engineering, operations, compliance, and business teams.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Program Management, Compliance, Risk Management, or a related field, or equivalent experience
- 4+ years of experience in technical program management, product or program management, compliance technology, automation, operations, or related work
- Experience managing cross-functional technical programs, including requirements definition, prioritization, execution planning, dependency management, risk management, and stakeholder communications
- Experience using data, metrics, KPIs, dashboards, or telemetry to evaluate program or product performance and drive measurable improvements
- Experience working with AI, automation, workflow tooling, compliance systems, governance processes, or technology-enabled operations
- Ability to translate ambiguous inputs into clear business requirements, success criteria, experiments, and implementation plans
- Strong written and verbal communication skills for explaining technical and compliance concepts to technical and non-technical audiences
- Experience with AI agents, machine learning evaluation, prompt or agent quality assessment, model performance monitoring, automated testing, or production readiness for AI-enabled solutions
- Experience supporting compliance functions, governance, or risk management
- Experience developing proof-of-concept or proof-case work and converting validated opportunities into production-ready solutions
- Experience with Power BI, Excel, Power Automate, Azure DevOps, or similar reporting and workflow tools
- Ability to influence stakeholders, resolve ambiguity, manage tradeoffs, and drive alignment across engineering, operations, compliance, and business teams
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.









