Senior Director, AI & Data Partnerships

EF; New York (NY); On-site; USD 163,000 - 237,000; Full time

Job summary

Moody’s is seeking a leader to develop and execute strategic partnerships that extend our data, analytics, and AI ecosystem. The role drives growth through high-impact alliances across cloud, data, and enterprise software, and requires strong negotiation and executive stakeholder management.

The successful candidate will own senior partner relationships, shape joint go-to-market plans, and monitor performance across pipeline and adoption metrics while navigating a highly matrixed organization.

Qualifications

• Experience building and scaling partnerships across data, analytics, enterprise software, cloud, fintech, or AI ecosystems.
• Multiple years of direct management experience across a partnerships team.
• Strong commercial acumen with the ability to translate market trends into revenue strategies.

Responsibilities

• Lead the development and execution of strategic partnerships to expand Moody's data, analytics, and AI ecosystem presence and drive measurable growth.
• Define and execute a partnership strategy across priority ecosystems and platforms.
• Lead negotiations for commercial agreements, distribution models, and co-innovation initiatives.
• Collaborate with product and technology teams to support integrations and AI-driven use cases.

Skills

Strategic partnerships

Management experience

Commercial acumen

Negotiation

Executive communication

Data analytics

APIs & AI tech

Cross-functional collaboration

AI governance

Education

Bachelor's degree

MBA or equivalent

Tools

CRM systems

Cloud platforms

Analytics tools

Job description

Moody’s is seeking a leader to develop and execute strategic partnerships that extend our data, analytics, and AI ecosystem. The role drives growth through high-impact alliances across cloud, data, and enterprise software, and requires strong negotiation and executive stakeholder management.

The successful candidate will own senior partner relationships, shape joint go-to-market plans, and monitor performance across pipeline and adoption metrics while navigating a highly matrixed organization.