7 days ago
Responsibilities
- Assess customer governance and security maturity, identify capability gaps, and develop governance transformation roadmaps.
- Design and implement AI Governance Operating Models covering governance forums, stakeholder structures, decision rights, accountability, ownership, stewardship, data access, human oversight, escalation, and executive oversight.
- Establish Responsible AI, risk, security, privacy, compliance, and governance frameworks, including policies, standards, controls, and guardrails.
- Operationalize AI and agent governance across intake, assessment, approval, deployment, runtime monitoring, change management, retirement, and ongoing oversight.
- Establish governance observability and assurance capabilities, including metrics, executive reporting, auditability, compliance evidence, risk monitoring, and continuous assurance.
- Leverage Microsoft security, compliance, identity, governance, and AI management platforms to implement control structures for AI and autonomous systems.
- Partner with customer executives and risk, compliance, legal, security, technology, and business stakeholders to establish governance councils and address regulatory requirements.
- Transfer governance practices and tooling to customer risk and compliance teams so they can independently operate and evolve the capability.
Requirements
- Master's degree in computer science, information technology, engineering, or a related field plus 6+ years of experience in technology solutions, practice development, architecture, consulting, or a technology domain; alternatively, a bachelor's degree plus 8+ years of such experience or equivalent experience.
- At least 2 years of experience managing multiple projects or portfolios.
- At least 1 year of experience leading blended, multidisciplinary teams.
- Experience with AI/ML governance frameworks and Responsible AI programs.
- Experience in regulated industries such as financial services, healthcare, or government.
- Knowledge of AI governance and compliance frameworks including NIST AI RMF, EU AI Act, and Microsoft Responsible AI Standard.
- Hands-on knowledge of Microsoft Agent 365, Microsoft Entra, Microsoft Purview, Microsoft Defender, and Azure security and compliance tooling.
- Experience governing AI agents, Copilots, and autonomous systems at enterprise scale.
- Experience working with regulators, auditors, governance councils, and executive oversight bodies.
- Experience designing and operationalizing enterprise-scale AI governance, security, risk, and compliance capabilities and governance operating models.
- Deep understanding of AI, agentic AI, and autonomous-system risks involving models, data, identity, security, privacy, compliance, resilience, and Responsible AI.
- Experience designing AI governance and security guardrails involving identity and access management, data protection, threat protection, monitoring, auditability, and policy enforcement.
- Executive communication skills, including board-level risk reporting.
- Experience leading cross-functional governance programs and advising senior or C-level stakeholders.
- Ability to translate complex AI risks, options, and trade-offs into executive briefings, decision papers, and clear points of view.
Tech Stack
Categories
Solutions Engineering
About Microsoft
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.