At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven experience developing and executing GTM readiness strategies within the global insurance, reinsurance, brokerage, or insurance technology (InsurTech) industry is required Strong ability to work closely with and align multiple stakeholder groups, including Marketing, Sales, Customer Engagement, and Product Management, to ensure seamless execution of enablement initiatives Expertise in translating complex business priorities into actionable training programs, GTM playbooks, and certifications for insurance-focused roles, covering topics like new catastrophe model releases or underwriting analytics platforms The ability to coordinate the operational cadence of GTM stakeholders, including preparing agendas, content, and materials for leadership meetings and strategic planning sessions in a fast-paced environment A data-driven mindset with experience establishing and tracking KPIs to measure the effectiveness and ROI of enablement programs. Experience leading change management efforts to drive the adoption of new processes and commercial strategies (e.g., consumption-based pricing for risk analytics) across commercial teams. Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools-such as Copilot and ChatGPT-can be used to improve processes and drive efficiency. Education Bachelor's degree required. Responsibilities Develop and execute global GTM readiness strategies aligned with business goals, product innovations, and sales objectives for the insurance market. Drive the readiness and effectiveness of our Marketing, Sales, and Customer Engagement teams for the Insurance segment Work closely with Marketing, Sales, Customer Engagement, Commercial Strategy, and Product Management to ensure seamless execution of enablement initiatives Translate business priorities into actionable training and readiness programs tailored to specific roles like actuaries, underwriters, and portfolio managers Create and manage enablement content, including certifications, GTM playbooks, and comprehensive training curricula for targeted campaigns within the insurance sector Coordinate the operational cadence of GTM stakeholders by preparing agendas, content, and key priorities for leadership huddles, team meetings, and other presentations Establish and track key performance indicators (KPIs) to measure the effectiveness of enablement programs and provide regular performance reports to senior leadership Lead change management efforts to drive adoption of new processes, tools, and strategies across Sales and Customer Engagement teams Act as a key liaison for GTM functions, fostering strong relationships with front-line teams to understand their needs and tailor enablement solutions accordingly About the Team Our Go-to-Market (GTM) team is responsible for ensuring the commercial readiness and effectiveness of our client-facing teams within the Insurance business unit. We achieve this by developing and executing strategic enablement programs, creating impactful training content, and fostering seamless collaboration across all commercial functions. By joining our team, you will be part of exciting work in empowering our teams to succeed and driving the overall GTM strategy for our innovative insurance solutions. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Feb 27, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven experience developing and executing GTM readiness strategies within the global insurance, reinsurance, brokerage, or insurance technology (InsurTech) industry is required Strong ability to work closely with and align multiple stakeholder groups, including Marketing, Sales, Customer Engagement, and Product Management, to ensure seamless execution of enablement initiatives Expertise in translating complex business priorities into actionable training programs, GTM playbooks, and certifications for insurance-focused roles, covering topics like new catastrophe model releases or underwriting analytics platforms The ability to coordinate the operational cadence of GTM stakeholders, including preparing agendas, content, and materials for leadership meetings and strategic planning sessions in a fast-paced environment A data-driven mindset with experience establishing and tracking KPIs to measure the effectiveness and ROI of enablement programs. Experience leading change management efforts to drive the adoption of new processes and commercial strategies (e.g., consumption-based pricing for risk analytics) across commercial teams. Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools-such as Copilot and ChatGPT-can be used to improve processes and drive efficiency. Education Bachelor's degree required. Responsibilities Develop and execute global GTM readiness strategies aligned with business goals, product innovations, and sales objectives for the insurance market. Drive the readiness and effectiveness of our Marketing, Sales, and Customer Engagement teams for the Insurance segment Work closely with Marketing, Sales, Customer Engagement, Commercial Strategy, and Product Management to ensure seamless execution of enablement initiatives Translate business priorities into actionable training and readiness programs tailored to specific roles like actuaries, underwriters, and portfolio managers Create and manage enablement content, including certifications, GTM playbooks, and comprehensive training curricula for targeted campaigns within the insurance sector Coordinate the operational cadence of GTM stakeholders by preparing agendas, content, and key priorities for leadership huddles, team meetings, and other presentations Establish and track key performance indicators (KPIs) to measure the effectiveness of enablement programs and provide regular performance reports to senior leadership Lead change management efforts to drive adoption of new processes, tools, and strategies across Sales and Customer Engagement teams Act as a key liaison for GTM functions, fostering strong relationships with front-line teams to understand their needs and tailor enablement solutions accordingly About the Team Our Go-to-Market (GTM) team is responsible for ensuring the commercial readiness and effectiveness of our client-facing teams within the Insurance business unit. We achieve this by developing and executing strategic enablement programs, creating impactful training content, and fostering seamless collaboration across all commercial functions. By joining our team, you will be part of exciting work in empowering our teams to succeed and driving the overall GTM strategy for our innovative insurance solutions. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven senior-level expertise designing and governing global B2B demand generation operating models that balance standardization, flexibility, and scale Deep knowledge of marketing automation ecosystems, lifecycle frameworks, lead and account-based engagement models, and data governance required for complex buying journeys Strong capability translating business and segment strategy into automated, omni-channel customer journeys using marketing automation platforms, customer data platforms, and AI-enabled tools Advanced analytical mindset with the ability to use performance dashboards, conversion metrics, attribution models, and AI-driven insights to optimize lead quality and revenue impact Demonstrated leadership experience building and mentoring high-performing global operations teams while driving automation maturity, governance, and adoption of new technologies Education Bachelor's degree in Marketing, Communications, Business, or a related field required Responsibilities Leads global demand generation operations, owning lifecycle, automation, data, and AI-enabled processes that power scalable, measurable, and compliant revenue growth Lead the global B2B demand generation operations strategy with a strong focus on process excellence, intelligent automation, and measurable growth Own and evolve the end-to-end demand operating engine, from first customer signal through sales handoff, across people, process, technology, and AI Govern marketing automation execution, including workflow architecture, lifecycle design, scoring models, routing logic, and service-level alignment Own customer contact data quality incl. governance, consent and compliance, eg Opt-In management Build and scale AI-powered scoring, nurturing, segmentation, and orchestration capabilities to improve speed, quality, and efficiency Partner closely with Sales Operations, Business Systems, and Sales Development teams to ensure lead quality, conversion performance, and smooth handover into sales Define and enforce global lifecycle standards, funnel definitions, and reporting frameworks to enable trusted measurement and attribution Lead and mentor global demand generation operations and technology teams across regions, ensuring consistent frameworks with localized execution Translate business strategy into standardized, automated, optimized, and measurable operating capabilities that enable segment teams to focus on execution and optimization About the Team Our Marketing & Demand Generation Operations team is responsible for enabling scalable, compliant, and high-performing demand generation across all segments and regions. By joining this team, you will: Build the operating backbone that powers global revenue marketing. Shape how automation, data, and AI are applied responsibly at scale. Enable marketing and sales teams to focus on strategy and growth, not tooling or data challenges Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Feb 27, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven senior-level expertise designing and governing global B2B demand generation operating models that balance standardization, flexibility, and scale Deep knowledge of marketing automation ecosystems, lifecycle frameworks, lead and account-based engagement models, and data governance required for complex buying journeys Strong capability translating business and segment strategy into automated, omni-channel customer journeys using marketing automation platforms, customer data platforms, and AI-enabled tools Advanced analytical mindset with the ability to use performance dashboards, conversion metrics, attribution models, and AI-driven insights to optimize lead quality and revenue impact Demonstrated leadership experience building and mentoring high-performing global operations teams while driving automation maturity, governance, and adoption of new technologies Education Bachelor's degree in Marketing, Communications, Business, or a related field required Responsibilities Leads global demand generation operations, owning lifecycle, automation, data, and AI-enabled processes that power scalable, measurable, and compliant revenue growth Lead the global B2B demand generation operations strategy with a strong focus on process excellence, intelligent automation, and measurable growth Own and evolve the end-to-end demand operating engine, from first customer signal through sales handoff, across people, process, technology, and AI Govern marketing automation execution, including workflow architecture, lifecycle design, scoring models, routing logic, and service-level alignment Own customer contact data quality incl. governance, consent and compliance, eg Opt-In management Build and scale AI-powered scoring, nurturing, segmentation, and orchestration capabilities to improve speed, quality, and efficiency Partner closely with Sales Operations, Business Systems, and Sales Development teams to ensure lead quality, conversion performance, and smooth handover into sales Define and enforce global lifecycle standards, funnel definitions, and reporting frameworks to enable trusted measurement and attribution Lead and mentor global demand generation operations and technology teams across regions, ensuring consistent frameworks with localized execution Translate business strategy into standardized, automated, optimized, and measurable operating capabilities that enable segment teams to focus on execution and optimization About the Team Our Marketing & Demand Generation Operations team is responsible for enabling scalable, compliant, and high-performing demand generation across all segments and regions. By joining this team, you will: Build the operating backbone that powers global revenue marketing. Shape how automation, data, and AI are applied responsibly at scale. Enable marketing and sales teams to focus on strategy and growth, not tooling or data challenges Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Distributed Systems & Streaming Data Engineering. You have experience designing and maintaining large scale distributed systems and streaming data pipelines-ideally with Kafka, Red Panda, or similar-to process unstructured data in near real time. Multi Language Programming Proficiency. You're comfortable working in both legacy C/C++ codebases for debugging and extensions, as well as developing clean new services and tools in Python/C#/Java/Go. Experience with JavaScript/React/NodeJS is a plus. Cloud Architecture & DevOps Enablement. You've built and migrated applications to cloud platforms like AWS (GCP a plus), containerized legacy systems, implemented high availability architectures with load balancing/failover, and worked across relational and modern NoSQL/vector databases. Applied AI/ML & NLP Integration. You have hands on familiarity with integrating NLP features into production using libraries such as spaCy or ML classifiers, delivering capabilities like entity extraction, classification, sentiment analysis, and setting up feedback loops to improve models. End to End Technical Ownership & Agile Delivery. You thrive in taking end to end ownership of projects-from gathering requirements to architecture, coding, testing, deployment-using agile practices and CI/CD pipelines to break down complex goals into actionable steps. Communication & Technical Leadership. You excel at explaining technical concepts to non technical stakeholders across regions, mentoring junior engineers, guiding support teams on best practices, and producing clear technical documentation that ensures knowledge is shared effectively. Strategic Problem Solving in "Brownfield" Contexts. You know how to modernize mission critical legacy systems while safeguarding service stability-balancing innovation such as cloud native rebuilds or GenAI integration with the realities of established production environments. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Advanced degree preferred but not required. Responsibilities Own and modernize a mission critical AI driven data platform, delivering scalable, reliable, and future ready solutions for Moody's Data Estate team. Full PD-Deliver Takeover & System Mastery (0-3 months): Quickly learn the ins and outs of the PD-Deliver platform, including its C-based codebase and custom libraries, MySQL configuration store, and dependencies on internal/external APIs Support & Enhance Current Workflows for Key User Teams (3-6 months): Engage with the M&A, FDI, and other stakeholder teams to understand their usage of PD-Deliver's "Ledger" UI and workflow. Infrastructure Assessment & Cloud Migration Plan (by 6-9 months): Conduct a thorough evaluation of PD-Deliver's infrastructure, which is currently hosted on GCP in a Linux environment and tightly integrated with legacy components. Modernize and Refactor Core System (start by 9-12 months): Begin execution of the migration/refactoring plan. Focus on leveraging Moody's modern data pipeline and tools as you rebuild parts of PD-Deliver: for example, integrating with the new Red Panda/Kafka-based content streaming pipeline (replacing the older feed mechanism), and rewriting or optimizing components of the system. Integrate Generative AI and Agentic Automation (within 12 months): Elevate PD-Deliver by embedding GenAI capabilities and agentic code generation into its workflow. Ensure High Uptime and Redundancy (ongoing, goal by 12-18 months): Architect and implement solutions for near 100% uptime and robust failover. Autonomy: you will operate with a high degree of independence as a senior individual contributor, owning design, implementation, and delivery decisions. About the team The Data Estate Enrichment team is responsible for transforming large scale unstructured data into trusted, actionable insights across Moody's. The team combines advanced software engineering, data pipelines, and AI/ML techniques to enrich and distribute content used by hundreds of internal stakeholders globally. By joining this team, you will play a pivotal role in modernizing a high visibility platform at the intersection of data, cloud infrastructure, and artificial intelligence, helping shape Moody's next generation of data and agentic AI capabilities. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Feb 27, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Distributed Systems & Streaming Data Engineering. You have experience designing and maintaining large scale distributed systems and streaming data pipelines-ideally with Kafka, Red Panda, or similar-to process unstructured data in near real time. Multi Language Programming Proficiency. You're comfortable working in both legacy C/C++ codebases for debugging and extensions, as well as developing clean new services and tools in Python/C#/Java/Go. Experience with JavaScript/React/NodeJS is a plus. Cloud Architecture & DevOps Enablement. You've built and migrated applications to cloud platforms like AWS (GCP a plus), containerized legacy systems, implemented high availability architectures with load balancing/failover, and worked across relational and modern NoSQL/vector databases. Applied AI/ML & NLP Integration. You have hands on familiarity with integrating NLP features into production using libraries such as spaCy or ML classifiers, delivering capabilities like entity extraction, classification, sentiment analysis, and setting up feedback loops to improve models. End to End Technical Ownership & Agile Delivery. You thrive in taking end to end ownership of projects-from gathering requirements to architecture, coding, testing, deployment-using agile practices and CI/CD pipelines to break down complex goals into actionable steps. Communication & Technical Leadership. You excel at explaining technical concepts to non technical stakeholders across regions, mentoring junior engineers, guiding support teams on best practices, and producing clear technical documentation that ensures knowledge is shared effectively. Strategic Problem Solving in "Brownfield" Contexts. You know how to modernize mission critical legacy systems while safeguarding service stability-balancing innovation such as cloud native rebuilds or GenAI integration with the realities of established production environments. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Advanced degree preferred but not required. Responsibilities Own and modernize a mission critical AI driven data platform, delivering scalable, reliable, and future ready solutions for Moody's Data Estate team. Full PD-Deliver Takeover & System Mastery (0-3 months): Quickly learn the ins and outs of the PD-Deliver platform, including its C-based codebase and custom libraries, MySQL configuration store, and dependencies on internal/external APIs Support & Enhance Current Workflows for Key User Teams (3-6 months): Engage with the M&A, FDI, and other stakeholder teams to understand their usage of PD-Deliver's "Ledger" UI and workflow. Infrastructure Assessment & Cloud Migration Plan (by 6-9 months): Conduct a thorough evaluation of PD-Deliver's infrastructure, which is currently hosted on GCP in a Linux environment and tightly integrated with legacy components. Modernize and Refactor Core System (start by 9-12 months): Begin execution of the migration/refactoring plan. Focus on leveraging Moody's modern data pipeline and tools as you rebuild parts of PD-Deliver: for example, integrating with the new Red Panda/Kafka-based content streaming pipeline (replacing the older feed mechanism), and rewriting or optimizing components of the system. Integrate Generative AI and Agentic Automation (within 12 months): Elevate PD-Deliver by embedding GenAI capabilities and agentic code generation into its workflow. Ensure High Uptime and Redundancy (ongoing, goal by 12-18 months): Architect and implement solutions for near 100% uptime and robust failover. Autonomy: you will operate with a high degree of independence as a senior individual contributor, owning design, implementation, and delivery decisions. About the team The Data Estate Enrichment team is responsible for transforming large scale unstructured data into trusted, actionable insights across Moody's. The team combines advanced software engineering, data pipelines, and AI/ML techniques to enrich and distribute content used by hundreds of internal stakeholders globally. By joining this team, you will play a pivotal role in modernizing a high visibility platform at the intersection of data, cloud infrastructure, and artificial intelligence, helping shape Moody's next generation of data and agentic AI capabilities. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.