„Marsh McLennan“ yra pasaulinė profesionalių paslaugų įmonė, teikianti konsultavimo paslaugas rizikos valdymo, strategijos ir su žmonėmis susijusiose srityse. Įmonių grupei priklauso draudimo tarpininkavimo ir rizikos valdymo paslaugas teikianti „Marsh“, perdraudimo ir kapitalo strategijų srityje besispecializuojanti „Guy Carpenter“, sveikatos, turto ir karjeros konsultavimo paslaugas teikianti „Mercer“ bei strategijos, ekonomikos ir prekių ženklų konsultavimo srityse besispecializuojanti „Oliver Wyman“. „Marsh McLennan“ visame pasaulyje dirba daugiau nei 85 000 darbuotojų, o įmonė sutelkia finansų, konsultavimo, rinkodaros ir kitų susijusių profesionalių paslaugų kompetencijas. Įmonės įdarbinimo sritys apima klientų konsultavimą, rizikos analizę, verslo strategiją, konsultavimą ir veiklos komandas palaikančias pareigas visose keturiose įmonėse.
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.
Jungtinės Valstijos
Niujorkas139 800 $ – 297 900 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinis intelektasAprašymas
- 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.
Reikalavimai
- 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.
Privalumai
- 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.