About the role
What will you do at Cape Analytics?
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 Competencies5+ years of experience in customer-facing software, data product, software as a service or technology implementation roles, preferably within financial services, financial software, data, analytics or AI-enabled solutionsStrong consultative communication skills with the ability to build trusted relationships, analyse customer workflows and translate business needs into clear data, automation, AI and product requirementsGood understanding of data product concepts including data quality, lineage, governance, metadata, controls, release readiness and operational support from a delivery and customer adoption perspectiveStrong delivery discipline, including prioritisation, dependency management, risk awareness, attention to detail and the ability to drive progress in complex, cross-functional environmentsFamiliarity with data product, data delivery, data warehouse or analytics environments such as Snowflake, Databricks, Redshift, Athena or Kafka, as well as basic coding and analytics concepts including SQL, Python, JavaScript and data visualisation toolsExperience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms, embedded data solutions or AI-ready data delivery modelsDemonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
Proven ability to implement AI-powered solutions to solve business challenges.
Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI useEducationBachelor’s degree required, preferably in Finance, Banking, Economics, Business, Information Systems, Computer Science, Data Science, Engineering or a related disciplineMaster’s degree, Master of Business Administration or equivalent relevant professional experience preferredResponsibilitiesEnable customer adoption of Moody’s data, generative artificial intelligence and agentic solutions through consultative implementation leadership, cross-functional collaboration and delivery excellence.Lead customer-facing implementation, onboarding and adoption activities for Moody’s data products, generative artificial intelligence, agentic workflow and Model Context Protocol solutionsConduct discovery sessions to capture customer requirements, workflows, technical constraints, success criteria and adoption risks, and translate findings into actionable delivery plans and product enhancementsPartner with Product Management, Engineering, Data Governance, Operations, Sales and Customer Success teams to support implementation planning, release readiness and reliable customer deliverySupport solution configuration, entitlement setup, application programming interface integrations, data validation and technical onboarding while coordinating resolution of product, data and integration issuesDeliver demonstrations, workshops, training and technical enablement activities, leveraging AI tools to accelerate documentation, reporting and impact analysisGather customer feedback, maintain accurate project and adoption reporting, and contribute to continuous improvement of delivery methodologies, playbooks and scalable implementation processesTravel occasionally to customer locations as requiredAbout the TeamOur Digital Content & Innovation, Customer Engagement team connects Product, Engineering, Sales, Customer Success and customer needs to drive adoption of Moody’s data products, generative artificial intelligence and agentic solutions.
The team enables customers and internal stakeholders to understand, implement and scale data products, AI-ready data and embedded data solutions while translating implementation insights and customer feedback into product and platform improvements.
By joining the team, you will contribute to strategic customer engagements involving enterprise data products, generative artificial intelligence, agentic workflows and scalable integrations, helping deliver measurable customer value through practical, reliable and well-coordinated 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.
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