
Marsh McLennan जोखिम, रणनीति और लोगों से संबंधित सलाहकारी सेवाओं के क्षेत्र में काम करने वाली एक वैश्विक पेशेवर सेवा कंपनी है। इसके व्यवसायों में Marsh शामिल है, जो बीमा ब्रोकरेज और जोखिम प्रबंधन सेवाएं प्रदान करता है; Guy Carpenter, जो पुनर्बीमा और पूंजी रणनीतियों पर केंद्रित है; Mercer, जो स्वास्थ्य, संपत्ति और करियर परामर्श में ग्राहकों की सहायता करता है; तथा Oliver Wyman, जो रणनीति, अर्थशास्त्र और ब्रांड परामर्श में विशेषज्ञता रखता है। दुनिया भर में 85,000 से अधिक कर्मचारियों के साथ, Marsh McLennan वित्त, परामर्श, मार्केटिंग और संबंधित पेशेवर सेवाओं में विशेषज्ञता को एक साथ लाता है। कंपनी में भर्ती के अवसर इसके चारों व्यवसायों में ग्राहक सलाह, जोखिम विश्लेषण, व्यावसायिक रणनीति, परामर्श और संचालन टीमों को सहयोग देने वाली भूमिकाओं तक फैले हुए हैं।
Senior AI Trust and Governance Leader
Lead responsible AI controls, risk frameworks, and executive reporting at Marsh McLennan. Guide compliant AI adoption across regulated, cross-functional teams.
$1,39,800 – $2,97,900 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीकृत्रिम बुद्धिमत्ताविवरण
- Lead AI trust and governance for Marsh Risk.
- Evaluate, prioritize, and realize value from AI initiatives.
- Work with regional COOs, digital and data leads, and BCS colleagues to shape strategy and technology direction.
- Maintain clear, consistent management reporting.
- Track the global availability and use of third-party resources.
- Put the AI trust, risk, and governance framework into practice across BCS.
- Build legal, compliance, privacy, and security requirements into scalable controls for AI development and deployment.
- Coordinate between BCS and legal, compliance, privacy, security, and engineering partners.
- Set governance for AI use cases, from risk-tiered intake and approvals to ongoing monitoring.
- Report AI risk and governance matters to executives.
- Equip teams with education, playbooks, and guardrails.
- Work with VMO to onboard AI vendors and verify that third-party solutions meet internal standards.
आवश्यकताएँ
- At least eight years of experience in risk, governance, compliance, technology controls, or a related field.
- At least three years of experience delivering AI or machine learning systems, data governance, or model risk management.
- Strong knowledge of AI risks and controls, including bias, explainability, data privacy, and model monitoring.
- Experience designing and implementing governance frameworks, policies, and control environments.
- Familiarity with regulatory expectations, including data privacy laws and emerging AI regulations.
- Experience working with cybersecurity, privacy, legal, compliance, and vendor management teams.
- Strong stakeholder management and executive communication skills.
- Demonstrated ability to work across functions in highly matrixed organizations.
- Experience in a regulated sector such as insurance or financial services.
- Experience establishing and scaling AI governance from the ground up.
- Familiarity with the NIST AI Risk Management Framework, model risk management, or similar frameworks.
- Comfort working in a global, matrixed environment and influencing without formal authority.
- Ability to balance risk reduction with speed while maintaining strong controls.
- Experience assessing and governing third-party AI vendors and platforms at scale.
- A pragmatic approach to building usable, scalable governance within defined privacy requirements.
लाभ
- Professional development opportunities.
- Health and welfare benefits.
- Tuition assistance.
- 401(k) savings plan.
- Other retirement programs.
- Employee assistance programs.
- Flexible hybrid work arrangement.
- Supportive leadership and an inclusive work environment.
- Career opportunities.
- Performance-based incentives may be available.