Business Analyst II

Microsoft AI is a customer-first organization focused on building AI-powered products that help customers and businesses achieve more in an evolving technology landscape. As AI reshapes how people discover information engage with services and conduct business we need product leaders who can navigate ambiguity bring clarity to complex challenges and drive meaningful customer and business impact.

As a member of the Microsoft AI Monetization Platform Trust & Safety team you will play a critical role in ensuring that our products and platforms remain safe trustworthy and effective. You will work on some of the most important challenges facing modern digital ecosystems including trust and safety fraud and abuse prevention risk management operational excellence quality systems automation and AI-driven decision this role you will partner closely with Engineering Data Science Research Operations Policy Risk and Business stakeholders to define and deliver scalable solutions that protect users customers advertisers and the broader ecosystem while enabling sustainable business growth. You will help shape how Trust & Safety systems operate how risk is measured and managed and how emerging technologies such as AI and agentic systems can be leveraged to improve outcomes at scale.

• Has experience in Trust & Safety Integrity Fraud Prevention Abuse Prevention Risk Management Policy Security Compliance Operations Analytics or related domains.
• Demonstrates strong ownership and a bias for action consistently driving measurable impact through data-driven decision making.
• Operates effectively across complex cross-functional environments balancing customer business operational policy and technical considerations.
• Excels at translating ambiguous problems into scalable solutions and influencing outcomes across diverse stakeholder groups.
• Possesses strong analytical capabilities and uses data to identify opportunities risks operational improvements and investment priorities.
• Is energized by fast-moving environments and enjoys solving complex ecosystem-wide challenges at scale.

You will work within the Microsoft AI (MAI) organization powering AI-first experiences across products including Copilot Bing Edge MSN and future AI-driven services. MAI brings together Product Engineering Research Design and Go-To-Market teams to deliver innovative solutions at global scale. As part of a highly collaborative cross-functional team you will partner with engineers designers researchers operators analysts marketers and business leaders to build impactful customer experiences. We operate with a strong sense of ownership customer obsession and data-driven decision making in a rapidly evolving AI landscape.

As AI transforms the digital ecosystem this role offers a unique opportunity to help define how trust safety quality and operational excellence evolve in an increasingly agentic world.

Microsofts mission is to empower every person and every organization on the planet to achieve more. Our employees embrace a growth mindset innovate to empower others collaborate to realize shared goals and contribute to a culture grounded in respect integrity accountability and inclusion. This role is ideal for a builder who thrives in ambiguity enjoys solving complex problems and is passionate about leveraging data automation AI and operational excellence to improve Trust & Safety outcomes at global scale.

• Partner with Policy Engineering Data Science and Operations teams to develop scalable policy solutions that improve ecosystem safety trust and quality.
• Define and evolve policy frameworks reviewer guidelines decision criteria and operational playbooks to drive consistency and enforcement quality.
• Translate policy requirements into operational processes product requirements evaluation frameworks and scalable enforcement mechanisms.
• Drive policy-to-model enablement by partnering with engineering and data science teams to improve AI- and ML-powered review detection and enforcement systems.
• Generate insights from labeling evaluation audit and operational data to identify quality gaps emerging risks policy ambiguities and opportunities for improvement.
• Perform hands-on labelling content review evaluation and adjudication activities as needed to establish ground truth validate evaluation methodologies calibrate quality standards and improve model performance.
• Define quality metrics evaluation methodologies and feedback loops to continuously improve human review and automated decision-making systems.
• Partner with vendor and review operations teams to improve annotation quality reviewer effectiveness operational efficiency and policy comprehension.
• Drive cross-functional initiatives from problem definition through execution balancing customer experience operational needs policy intent and business objectives.
• Communicate insights recommendations and policy decisions effectively to technical and non-technical stakeholders.
• Embody Microsofts Culture and Values.

• Bachelors degree in business Public Policy Communications Operations Economics Psychology Social Sciences Data Science Analytics Computer Science or a related field or equivalent practical experience.
• 3 years of experience in Product Management Program Management Trust & Safety Policy Operations Risk Management Fraud Prevention Content Moderation Marketplace Integrity or related domains.
• Experience developing interpreting operationalizing or enforcing policies guidelines standards or business rules in complex operational environments.
• Strong analytical and problem-solving skills with experience leveraging data to drive decisions identify opportunities and improve quality and operational outcomes.
• Experience working across cross-functional teams including Engineering Data Science Operations Policy and Business stakeholders.
• Experience designing or managing review workflows quality programs labeling operations evaluation frameworks or operational processes at scale.
• Strong communication stakeholder management and influencing skills with the ability to drive alignment across diverse teams.
• Familiarity with AI/ML-powered systems and the role of human review labeling evaluations and feedback loops in improving model quality and safety outcomes.

Preferred Qualifications:

• Experience working in large-scale Trust & Safety Marketplace Integrity Fraud Prevention Online Safety Risk Management Compliance or similar ecosystems.
• Experience designing and scaling human review labeling policy enforcement quality assurance or evaluation programs that support operational and product outcomes.
• Experience supporting AI/ML model development through labeling strategies ground-truth creation adjudication frameworks evaluation design and feedback loops.
• Familiarity with Generative AI Agentic AI Large Language Models (LLMs) and human-in-the-loop systems used to improve safety quality and operational effectiveness.
• Experience generating actionable insights from large-scale operational quality labeling or enforcement datasets and translating findings into policy process tooling or product improvements.
• Working knowledge of SQL Power BI Python or similar analytics reporting and experimentation tools.
• Demonstrated success leading cross-functional initiatives involving Engineering Data Science Operations Policy and Business stakeholders.
• Proven ability to thrive in fast-paced ambiguous environments while driving measurable customer and business impact through ownership customer focus and data-driven decision making.

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.

Required Experience:

IC